dataframe/ 0000755 0001750 0001750 00000000000 11715233166 014007 5 ustar carandraug carandraug dataframe/inst/ 0000755 0001750 0001750 00000000000 11713521330 014753 5 ustar carandraug carandraug dataframe/inst/@dataframe/ 0000755 0001750 0001750 00000000000 11713521330 016777 5 ustar carandraug carandraug dataframe/inst/@dataframe/private/ 0000755 0001750 0001750 00000000000 11715233166 020462 5 ustar carandraug carandraug dataframe/NEWS 0000600 0001750 0001750 00000000261 11721452250 014467 0 ustar carandraug carandraug Summary of important user-visible changes for dataframe 0.9.1:
-------------------------------------------------------------------
** dataframe 0.9.1 is a bug fixing release.
dataframe/COPYING 0000644 0001750 0001750 00000104513 11426562206 015045 0 ustar carandraug carandraug GNU GENERAL PUBLIC LICENSE
Version 3, 29 June 2007
Copyright (C) 2007 Free Software Foundation, Inc.
Everyone is permitted to copy and distribute verbatim copies
of this license document, but changing it is not allowed.
Preamble
The GNU General Public License is a free, copyleft license for
software and other kinds of works.
The licenses for most software and other practical works are designed
to take away your freedom to share and change the works. By contrast,
the GNU General Public License is intended to guarantee your freedom to
share and change all versions of a program--to make sure it remains free
software for all its users. We, the Free Software Foundation, use the
GNU General Public License for most of our software; it applies also to
any other work released this way by its authors. You can apply it to
your programs, too.
When we speak of free software, we are referring to freedom, not
price. Our General Public Licenses are designed to make sure that you
have the freedom to distribute copies of free software (and charge for
them if you wish), that you receive source code or can get it if you
want it, that you can change the software or use pieces of it in new
free programs, and that you know you can do these things.
To protect your rights, we need to prevent others from denying you
these rights or asking you to surrender the rights. Therefore, you have
certain responsibilities if you distribute copies of the software, or if
you modify it: responsibilities to respect the freedom of others.
For example, if you distribute copies of such a program, whether
gratis or for a fee, you must pass on to the recipients the same
freedoms that you received. You must make sure that they, too, receive
or can get the source code. And you must show them these terms so they
know their rights.
Developers that use the GNU GPL protect your rights with two steps:
(1) assert copyright on the software, and (2) offer you this License
giving you legal permission to copy, distribute and/or modify it.
For the developers' and authors' protection, the GPL clearly explains
that there is no warranty for this free software. For both users' and
authors' sake, the GPL requires that modified versions be marked as
changed, so that their problems will not be attributed erroneously to
authors of previous versions.
Some devices are designed to deny users access to install or run
modified versions of the software inside them, although the manufacturer
can do so. This is fundamentally incompatible with the aim of
protecting users' freedom to change the software. The systematic
pattern of such abuse occurs in the area of products for individuals to
use, which is precisely where it is most unacceptable. Therefore, we
have designed this version of the GPL to prohibit the practice for those
products. If such problems arise substantially in other domains, we
stand ready to extend this provision to those domains in future versions
of the GPL, as needed to protect the freedom of users.
Finally, every program is threatened constantly by software patents.
States should not allow patents to restrict development and use of
software on general-purpose computers, but in those that do, we wish to
avoid the special danger that patents applied to a free program could
make it effectively proprietary. To prevent this, the GPL assures that
patents cannot be used to render the program non-free.
The precise terms and conditions for copying, distribution and
modification follow.
TERMS AND CONDITIONS
0. Definitions.
"This License" refers to version 3 of the GNU General Public License.
"Copyright" also means copyright-like laws that apply to other kinds of
works, such as semiconductor masks.
"The Program" refers to any copyrightable work licensed under this
License. Each licensee is addressed as "you". "Licensees" and
"recipients" may be individuals or organizations.
To "modify" a work means to copy from or adapt all or part of the work
in a fashion requiring copyright permission, other than the making of an
exact copy. The resulting work is called a "modified version" of the
earlier work or a work "based on" the earlier work.
A "covered work" means either the unmodified Program or a work based
on the Program.
To "propagate" a work means to do anything with it that, without
permission, would make you directly or secondarily liable for
infringement under applicable copyright law, except executing it on a
computer or modifying a private copy. Propagation includes copying,
distribution (with or without modification), making available to the
public, and in some countries other activities as well.
To "convey" a work means any kind of propagation that enables other
parties to make or receive copies. Mere interaction with a user through
a computer network, with no transfer of a copy, is not conveying.
An interactive user interface displays "Appropriate Legal Notices"
to the extent that it includes a convenient and prominently visible
feature that (1) displays an appropriate copyright notice, and (2)
tells the user that there is no warranty for the work (except to the
extent that warranties are provided), that licensees may convey the
work under this License, and how to view a copy of this License. If
the interface presents a list of user commands or options, such as a
menu, a prominent item in the list meets this criterion.
1. Source Code.
The "source code" for a work means the preferred form of the work
for making modifications to it. "Object code" means any non-source
form of a work.
A "Standard Interface" means an interface that either is an official
standard defined by a recognized standards body, or, in the case of
interfaces specified for a particular programming language, one that
is widely used among developers working in that language.
The "System Libraries" of an executable work include anything, other
than the work as a whole, that (a) is included in the normal form of
packaging a Major Component, but which is not part of that Major
Component, and (b) serves only to enable use of the work with that
Major Component, or to implement a Standard Interface for which an
implementation is available to the public in source code form. A
"Major Component", in this context, means a major essential component
(kernel, window system, and so on) of the specific operating system
(if any) on which the executable work runs, or a compiler used to
produce the work, or an object code interpreter used to run it.
The "Corresponding Source" for a work in object code form means all
the source code needed to generate, install, and (for an executable
work) run the object code and to modify the work, including scripts to
control those activities. However, it does not include the work's
System Libraries, or general-purpose tools or generally available free
programs which are used unmodified in performing those activities but
which are not part of the work. For example, Corresponding Source
includes interface definition files associated with source files for
the work, and the source code for shared libraries and dynamically
linked subprograms that the work is specifically designed to require,
such as by intimate data communication or control flow between those
subprograms and other parts of the work.
The Corresponding Source need not include anything that users
can regenerate automatically from other parts of the Corresponding
Source.
The Corresponding Source for a work in source code form is that
same work.
2. Basic Permissions.
All rights granted under this License are granted for the term of
copyright on the Program, and are irrevocable provided the stated
conditions are met. This License explicitly affirms your unlimited
permission to run the unmodified Program. The output from running a
covered work is covered by this License only if the output, given its
content, constitutes a covered work. This License acknowledges your
rights of fair use or other equivalent, as provided by copyright law.
You may make, run and propagate covered works that you do not
convey, without conditions so long as your license otherwise remains
in force. You may convey covered works to others for the sole purpose
of having them make modifications exclusively for you, or provide you
with facilities for running those works, provided that you comply with
the terms of this License in conveying all material for which you do
not control copyright. Those thus making or running the covered works
for you must do so exclusively on your behalf, under your direction
and control, on terms that prohibit them from making any copies of
your copyrighted material outside their relationship with you.
Conveying under any other circumstances is permitted solely under
the conditions stated below. Sublicensing is not allowed; section 10
makes it unnecessary.
3. Protecting Users' Legal Rights From Anti-Circumvention Law.
No covered work shall be deemed part of an effective technological
measure under any applicable law fulfilling obligations under article
11 of the WIPO copyright treaty adopted on 20 December 1996, or
similar laws prohibiting or restricting circumvention of such
measures.
When you convey a covered work, you waive any legal power to forbid
circumvention of technological measures to the extent such circumvention
is effected by exercising rights under this License with respect to
the covered work, and you disclaim any intention to limit operation or
modification of the work as a means of enforcing, against the work's
users, your or third parties' legal rights to forbid circumvention of
technological measures.
4. Conveying Verbatim Copies.
You may convey verbatim copies of the Program's source code as you
receive it, in any medium, provided that you conspicuously and
appropriately publish on each copy an appropriate copyright notice;
keep intact all notices stating that this License and any
non-permissive terms added in accord with section 7 apply to the code;
keep intact all notices of the absence of any warranty; and give all
recipients a copy of this License along with the Program.
You may charge any price or no price for each copy that you convey,
and you may offer support or warranty protection for a fee.
5. Conveying Modified Source Versions.
You may convey a work based on the Program, or the modifications to
produce it from the Program, in the form of source code under the
terms of section 4, provided that you also meet all of these conditions:
a) The work must carry prominent notices stating that you modified
it, and giving a relevant date.
b) The work must carry prominent notices stating that it is
released under this License and any conditions added under section
7. This requirement modifies the requirement in section 4 to
"keep intact all notices".
c) You must license the entire work, as a whole, under this
License to anyone who comes into possession of a copy. This
License will therefore apply, along with any applicable section 7
additional terms, to the whole of the work, and all its parts,
regardless of how they are packaged. This License gives no
permission to license the work in any other way, but it does not
invalidate such permission if you have separately received it.
d) If the work has interactive user interfaces, each must display
Appropriate Legal Notices; however, if the Program has interactive
interfaces that do not display Appropriate Legal Notices, your
work need not make them do so.
A compilation of a covered work with other separate and independent
works, which are not by their nature extensions of the covered work,
and which are not combined with it such as to form a larger program,
in or on a volume of a storage or distribution medium, is called an
"aggregate" if the compilation and its resulting copyright are not
used to limit the access or legal rights of the compilation's users
beyond what the individual works permit. Inclusion of a covered work
in an aggregate does not cause this License to apply to the other
parts of the aggregate.
6. Conveying Non-Source Forms.
You may convey a covered work in object code form under the terms
of sections 4 and 5, provided that you also convey the
machine-readable Corresponding Source under the terms of this License,
in one of these ways:
a) Convey the object code in, or embodied in, a physical product
(including a physical distribution medium), accompanied by the
Corresponding Source fixed on a durable physical medium
customarily used for software interchange.
b) Convey the object code in, or embodied in, a physical product
(including a physical distribution medium), accompanied by a
written offer, valid for at least three years and valid for as
long as you offer spare parts or customer support for that product
model, to give anyone who possesses the object code either (1) a
copy of the Corresponding Source for all the software in the
product that is covered by this License, on a durable physical
medium customarily used for software interchange, for a price no
more than your reasonable cost of physically performing this
conveying of source, or (2) access to copy the
Corresponding Source from a network server at no charge.
c) Convey individual copies of the object code with a copy of the
written offer to provide the Corresponding Source. This
alternative is allowed only occasionally and noncommercially, and
only if you received the object code with such an offer, in accord
with subsection 6b.
d) Convey the object code by offering access from a designated
place (gratis or for a charge), and offer equivalent access to the
Corresponding Source in the same way through the same place at no
further charge. You need not require recipients to copy the
Corresponding Source along with the object code. If the place to
copy the object code is a network server, the Corresponding Source
may be on a different server (operated by you or a third party)
that supports equivalent copying facilities, provided you maintain
clear directions next to the object code saying where to find the
Corresponding Source. Regardless of what server hosts the
Corresponding Source, you remain obligated to ensure that it is
available for as long as needed to satisfy these requirements.
e) Convey the object code using peer-to-peer transmission, provided
you inform other peers where the object code and Corresponding
Source of the work are being offered to the general public at no
charge under subsection 6d.
A separable portion of the object code, whose source code is excluded
from the Corresponding Source as a System Library, need not be
included in conveying the object code work.
A "User Product" is either (1) a "consumer product", which means any
tangible personal property which is normally used for personal, family,
or household purposes, or (2) anything designed or sold for incorporation
into a dwelling. In determining whether a product is a consumer product,
doubtful cases shall be resolved in favor of coverage. For a particular
product received by a particular user, "normally used" refers to a
typical or common use of that class of product, regardless of the status
of the particular user or of the way in which the particular user
actually uses, or expects or is expected to use, the product. A product
is a consumer product regardless of whether the product has substantial
commercial, industrial or non-consumer uses, unless such uses represent
the only significant mode of use of the product.
"Installation Information" for a User Product means any methods,
procedures, authorization keys, or other information required to install
and execute modified versions of a covered work in that User Product from
a modified version of its Corresponding Source. The information must
suffice to ensure that the continued functioning of the modified object
code is in no case prevented or interfered with solely because
modification has been made.
If you convey an object code work under this section in, or with, or
specifically for use in, a User Product, and the conveying occurs as
part of a transaction in which the right of possession and use of the
User Product is transferred to the recipient in perpetuity or for a
fixed term (regardless of how the transaction is characterized), the
Corresponding Source conveyed under this section must be accompanied
by the Installation Information. But this requirement does not apply
if neither you nor any third party retains the ability to install
modified object code on the User Product (for example, the work has
been installed in ROM).
The requirement to provide Installation Information does not include a
requirement to continue to provide support service, warranty, or updates
for a work that has been modified or installed by the recipient, or for
the User Product in which it has been modified or installed. Access to a
network may be denied when the modification itself materially and
adversely affects the operation of the network or violates the rules and
protocols for communication across the network.
Corresponding Source conveyed, and Installation Information provided,
in accord with this section must be in a format that is publicly
documented (and with an implementation available to the public in
source code form), and must require no special password or key for
unpacking, reading or copying.
7. Additional Terms.
"Additional permissions" are terms that supplement the terms of this
License by making exceptions from one or more of its conditions.
Additional permissions that are applicable to the entire Program shall
be treated as though they were included in this License, to the extent
that they are valid under applicable law. If additional permissions
apply only to part of the Program, that part may be used separately
under those permissions, but the entire Program remains governed by
this License without regard to the additional permissions.
When you convey a copy of a covered work, you may at your option
remove any additional permissions from that copy, or from any part of
it. (Additional permissions may be written to require their own
removal in certain cases when you modify the work.) You may place
additional permissions on material, added by you to a covered work,
for which you have or can give appropriate copyright permission.
Notwithstanding any other provision of this License, for material you
add to a covered work, you may (if authorized by the copyright holders of
that material) supplement the terms of this License with terms:
a) Disclaiming warranty or limiting liability differently from the
terms of sections 15 and 16 of this License; or
b) Requiring preservation of specified reasonable legal notices or
author attributions in that material or in the Appropriate Legal
Notices displayed by works containing it; or
c) Prohibiting misrepresentation of the origin of that material, or
requiring that modified versions of such material be marked in
reasonable ways as different from the original version; or
d) Limiting the use for publicity purposes of names of licensors or
authors of the material; or
e) Declining to grant rights under trademark law for use of some
trade names, trademarks, or service marks; or
f) Requiring indemnification of licensors and authors of that
material by anyone who conveys the material (or modified versions of
it) with contractual assumptions of liability to the recipient, for
any liability that these contractual assumptions directly impose on
those licensors and authors.
All other non-permissive additional terms are considered "further
restrictions" within the meaning of section 10. If the Program as you
received it, or any part of it, contains a notice stating that it is
governed by this License along with a term that is a further
restriction, you may remove that term. If a license document contains
a further restriction but permits relicensing or conveying under this
License, you may add to a covered work material governed by the terms
of that license document, provided that the further restriction does
not survive such relicensing or conveying.
If you add terms to a covered work in accord with this section, you
must place, in the relevant source files, a statement of the
additional terms that apply to those files, or a notice indicating
where to find the applicable terms.
Additional terms, permissive or non-permissive, may be stated in the
form of a separately written license, or stated as exceptions;
the above requirements apply either way.
8. Termination.
You may not propagate or modify a covered work except as expressly
provided under this License. Any attempt otherwise to propagate or
modify it is void, and will automatically terminate your rights under
this License (including any patent licenses granted under the third
paragraph of section 11).
However, if you cease all violation of this License, then your
license from a particular copyright holder is reinstated (a)
provisionally, unless and until the copyright holder explicitly and
finally terminates your license, and (b) permanently, if the copyright
holder fails to notify you of the violation by some reasonable means
prior to 60 days after the cessation.
Moreover, your license from a particular copyright holder is
reinstated permanently if the copyright holder notifies you of the
violation by some reasonable means, this is the first time you have
received notice of violation of this License (for any work) from that
copyright holder, and you cure the violation prior to 30 days after
your receipt of the notice.
Termination of your rights under this section does not terminate the
licenses of parties who have received copies or rights from you under
this License. If your rights have been terminated and not permanently
reinstated, you do not qualify to receive new licenses for the same
material under section 10.
9. Acceptance Not Required for Having Copies.
You are not required to accept this License in order to receive or
run a copy of the Program. Ancillary propagation of a covered work
occurring solely as a consequence of using peer-to-peer transmission
to receive a copy likewise does not require acceptance. However,
nothing other than this License grants you permission to propagate or
modify any covered work. These actions infringe copyright if you do
not accept this License. Therefore, by modifying or propagating a
covered work, you indicate your acceptance of this License to do so.
10. Automatic Licensing of Downstream Recipients.
Each time you convey a covered work, the recipient automatically
receives a license from the original licensors, to run, modify and
propagate that work, subject to this License. You are not responsible
for enforcing compliance by third parties with this License.
An "entity transaction" is a transaction transferring control of an
organization, or substantially all assets of one, or subdividing an
organization, or merging organizations. If propagation of a covered
work results from an entity transaction, each party to that
transaction who receives a copy of the work also receives whatever
licenses to the work the party's predecessor in interest had or could
give under the previous paragraph, plus a right to possession of the
Corresponding Source of the work from the predecessor in interest, if
the predecessor has it or can get it with reasonable efforts.
You may not impose any further restrictions on the exercise of the
rights granted or affirmed under this License. For example, you may
not impose a license fee, royalty, or other charge for exercise of
rights granted under this License, and you may not initiate litigation
(including a cross-claim or counterclaim in a lawsuit) alleging that
any patent claim is infringed by making, using, selling, offering for
sale, or importing the Program or any portion of it.
11. Patents.
A "contributor" is a copyright holder who authorizes use under this
License of the Program or a work on which the Program is based. The
work thus licensed is called the contributor's "contributor version".
A contributor's "essential patent claims" are all patent claims
owned or controlled by the contributor, whether already acquired or
hereafter acquired, that would be infringed by some manner, permitted
by this License, of making, using, or selling its contributor version,
but do not include claims that would be infringed only as a
consequence of further modification of the contributor version. For
purposes of this definition, "control" includes the right to grant
patent sublicenses in a manner consistent with the requirements of
this License.
Each contributor grants you a non-exclusive, worldwide, royalty-free
patent license under the contributor's essential patent claims, to
make, use, sell, offer for sale, import and otherwise run, modify and
propagate the contents of its contributor version.
In the following three paragraphs, a "patent license" is any express
agreement or commitment, however denominated, not to enforce a patent
(such as an express permission to practice a patent or covenant not to
sue for patent infringement). To "grant" such a patent license to a
party means to make such an agreement or commitment not to enforce a
patent against the party.
If you convey a covered work, knowingly relying on a patent license,
and the Corresponding Source of the work is not available for anyone
to copy, free of charge and under the terms of this License, through a
publicly available network server or other readily accessible means,
then you must either (1) cause the Corresponding Source to be so
available, or (2) arrange to deprive yourself of the benefit of the
patent license for this particular work, or (3) arrange, in a manner
consistent with the requirements of this License, to extend the patent
license to downstream recipients. "Knowingly relying" means you have
actual knowledge that, but for the patent license, your conveying the
covered work in a country, or your recipient's use of the covered work
in a country, would infringe one or more identifiable patents in that
country that you have reason to believe are valid.
If, pursuant to or in connection with a single transaction or
arrangement, you convey, or propagate by procuring conveyance of, a
covered work, and grant a patent license to some of the parties
receiving the covered work authorizing them to use, propagate, modify
or convey a specific copy of the covered work, then the patent license
you grant is automatically extended to all recipients of the covered
work and works based on it.
A patent license is "discriminatory" if it does not include within
the scope of its coverage, prohibits the exercise of, or is
conditioned on the non-exercise of one or more of the rights that are
specifically granted under this License. You may not convey a covered
work if you are a party to an arrangement with a third party that is
in the business of distributing software, under which you make payment
to the third party based on the extent of your activity of conveying
the work, and under which the third party grants, to any of the
parties who would receive the covered work from you, a discriminatory
patent license (a) in connection with copies of the covered work
conveyed by you (or copies made from those copies), or (b) primarily
for and in connection with specific products or compilations that
contain the covered work, unless you entered into that arrangement,
or that patent license was granted, prior to 28 March 2007.
Nothing in this License shall be construed as excluding or limiting
any implied license or other defenses to infringement that may
otherwise be available to you under applicable patent law.
12. No Surrender of Others' Freedom.
If conditions are imposed on you (whether by court order, agreement or
otherwise) that contradict the conditions of this License, they do not
excuse you from the conditions of this License. If you cannot convey a
covered work so as to satisfy simultaneously your obligations under this
License and any other pertinent obligations, then as a consequence you may
not convey it at all. For example, if you agree to terms that obligate you
to collect a royalty for further conveying from those to whom you convey
the Program, the only way you could satisfy both those terms and this
License would be to refrain entirely from conveying the Program.
13. Use with the GNU Affero General Public License.
Notwithstanding any other provision of this License, you have
permission to link or combine any covered work with a work licensed
under version 3 of the GNU Affero General Public License into a single
combined work, and to convey the resulting work. The terms of this
License will continue to apply to the part which is the covered work,
but the special requirements of the GNU Affero General Public License,
section 13, concerning interaction through a network will apply to the
combination as such.
14. Revised Versions of this License.
The Free Software Foundation may publish revised and/or new versions of
the GNU General Public License from time to time. Such new versions will
be similar in spirit to the present version, but may differ in detail to
address new problems or concerns.
Each version is given a distinguishing version number. If the
Program specifies that a certain numbered version of the GNU General
Public License "or any later version" applies to it, you have the
option of following the terms and conditions either of that numbered
version or of any later version published by the Free Software
Foundation. If the Program does not specify a version number of the
GNU General Public License, you may choose any version ever published
by the Free Software Foundation.
If the Program specifies that a proxy can decide which future
versions of the GNU General Public License can be used, that proxy's
public statement of acceptance of a version permanently authorizes you
to choose that version for the Program.
Later license versions may give you additional or different
permissions. However, no additional obligations are imposed on any
author or copyright holder as a result of your choosing to follow a
later version.
15. Disclaimer of Warranty.
THERE IS NO WARRANTY FOR THE PROGRAM, TO THE EXTENT PERMITTED BY
APPLICABLE LAW. EXCEPT WHEN OTHERWISE STATED IN WRITING THE COPYRIGHT
HOLDERS AND/OR OTHER PARTIES PROVIDE THE PROGRAM "AS IS" WITHOUT WARRANTY
OF ANY KIND, EITHER EXPRESSED OR IMPLIED, INCLUDING, BUT NOT LIMITED TO,
THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR
PURPOSE. THE ENTIRE RISK AS TO THE QUALITY AND PERFORMANCE OF THE PROGRAM
IS WITH YOU. SHOULD THE PROGRAM PROVE DEFECTIVE, YOU ASSUME THE COST OF
ALL NECESSARY SERVICING, REPAIR OR CORRECTION.
16. Limitation of Liability.
IN NO EVENT UNLESS REQUIRED BY APPLICABLE LAW OR AGREED TO IN WRITING
WILL ANY COPYRIGHT HOLDER, OR ANY OTHER PARTY WHO MODIFIES AND/OR CONVEYS
THE PROGRAM AS PERMITTED ABOVE, BE LIABLE TO YOU FOR DAMAGES, INCLUDING ANY
GENERAL, SPECIAL, INCIDENTAL OR CONSEQUENTIAL DAMAGES ARISING OUT OF THE
USE OR INABILITY TO USE THE PROGRAM (INCLUDING BUT NOT LIMITED TO LOSS OF
DATA OR DATA BEING RENDERED INACCURATE OR LOSSES SUSTAINED BY YOU OR THIRD
PARTIES OR A FAILURE OF THE PROGRAM TO OPERATE WITH ANY OTHER PROGRAMS),
EVEN IF SUCH HOLDER OR OTHER PARTY HAS BEEN ADVISED OF THE POSSIBILITY OF
SUCH DAMAGES.
17. Interpretation of Sections 15 and 16.
If the disclaimer of warranty and limitation of liability provided
above cannot be given local legal effect according to their terms,
reviewing courts shall apply local law that most closely approximates
an absolute waiver of all civil liability in connection with the
Program, unless a warranty or assumption of liability accompanies a
copy of the Program in return for a fee.
END OF TERMS AND CONDITIONS
How to Apply These Terms to Your New Programs
If you develop a new program, and you want it to be of the greatest
possible use to the public, the best way to achieve this is to make it
free software which everyone can redistribute and change under these terms.
To do so, attach the following notices to the program. It is safest
to attach them to the start of each source file to most effectively
state the exclusion of warranty; and each file should have at least
the "copyright" line and a pointer to where the full notice is found.
Copyright (C)
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU General Public License for more details.
You should have received a copy of the GNU General Public License
along with this program. If not, see .
Also add information on how to contact you by electronic and paper mail.
If the program does terminal interaction, make it output a short
notice like this when it starts in an interactive mode:
Copyright (C)
This program comes with ABSOLUTELY NO WARRANTY; for details type `show w'.
This is free software, and you are welcome to redistribute it
under certain conditions; type `show c' for details.
The hypothetical commands `show w' and `show c' should show the appropriate
parts of the General Public License. Of course, your program's commands
might be different; for a GUI interface, you would use an "about box".
You should also get your employer (if you work as a programmer) or school,
if any, to sign a "copyright disclaimer" for the program, if necessary.
For more information on this, and how to apply and follow the GNU GPL, see
.
The GNU General Public License does not permit incorporating your program
into proprietary programs. If your program is a subroutine library, you
may consider it more useful to permit linking proprietary applications with
the library. If this is what you want to do, use the GNU Lesser General
Public License instead of this License. But first, please read
.
dataframe/INDEX 0000644 0001750 0001750 00000000727 11466450516 014612 0 ustar carandraug carandraug dataframe >> Data manipulation toolbox similar to R data.frame
Dataframe
@dataframe/cat
@dataframe/dataframe
@dataframe/display
@dataframe/end
@dataframe/fold
@dataframe/isempty
@dataframe/ldivide
@dataframe/minus
@dataframe/mldivide
@dataframe/mrdivide
@dataframe/mtimes
@dataframe/numel
@dataframe/plus
@dataframe/rdivide
@dataframe/size
@dataframe/subsasgn
@dataframe/subsref
@dataframe/summary
@dataframe/times
@dataframe/uminus
@dataframe/uplus
dataframe/DESCRIPTION 0000600 0001750 0001750 00000000525 11715233166 015507 0 ustar carandraug carandraug Name: dataframe
Version: 0.9.1
Date: 2012-02-10
Author: Pascal Dupuis
Maintainer: The Octave Community
Title: Data Frame
Description: Data manipulation toolbox similar to R data.frame
Categories: data manipulation, statistics
Depends: octave (>= 3.2.0)
License: GPL version 3 or later
Url: http://octave.sf.net
SVNRelease: $Revision: 9615 $
dataframe/inst/dataframe 0000600 0001750 0001750 00000020576 11713521330 016624 0 ustar carandraug carandraug %# -*- mode: Octave -*-
%!shared a, b, x, xl, y, yl, Y, z
%! x=dataframe(randn(3, 3), 'rownames', (7:-1:5).');
%! x(1:3, 1) = 3;
%! x(1:3, 1) = (4:6).';
%!assert(x.array(2, 1), 5);
%! x(1, 1:3) = 3;
%! x(1, 1:3) = (4:6).';
%!assert(x.array(1, 2), 5);
%!assert(isempty(x.rowidx), false);
%! x.types(2) ='single';
%!assert(class(x.array(1, 2)), 'single')
%! x=dataframe('octave_frame/data_test.csv');
%!assert(isna(x.array(9, 4)))
%! # remove rownames
%! x.rownames = [];
%!assert(size(x.rownames), [0 0])
%! # remove a column through '.' access
%! y = x; y.DataName = [];
%!assert(size(y(:, '_IBIAS_')), [10 1])
%!assert(size(y), [10 6]);
%! y = x{};
%!assert(size(y), [10 7]);
%! y = x{[2 5], [2 7]};
%!assert(y, {-5.8, "E"; -5.2, "C"});
%! y = x{}([2 5], [2 7]);
%!assert(y, {-5.8, "E"; -5.2, "C"});
%! y = x{1:2, 1:2}(4);
%!assert(y, {-5.8});
%! # remove a column through (:, name) access
%! y = x; y(:, "DataName") = [];
%!assert(size(y), [10 6]);
%! # create an empty dataframe
%! y = dataframe([]);
%!assert(isempty(y), true);
%! y = x.df(:, 2:6);
%! Y = 2*pi*double(y.Freq).*y.C+y.GOUT;
%! z = dataframe(y,{{'Y'; Y}});
%!assert(size(z), [10 6]);
%!assert(abs(z(1, "Y") - Y(1)).array, 0);
%! # direct matrix setting through struct access
%! y.Freq=[(1:10).' (10:-1:1).'];
%! # verify the "end" operator on the third dim
%!assert(y.array(2, 2, end), 9);
%! # direct setting through 3D matrix
%! y(:, ["C"; "G"], 1:2) = repmat(y(:, ["C"; "G"]), [1 1 2]);
%! y(4:5, 4:5) = NaN;
%!test
%! if any(size(x) != [10 7]),
%! error('x: wrong input size')
%! endif
%! if any(size(y) != [10 5 2]),
%! error('y: wrong input size')
%! endif
%!#assert(numel(x), 1);
%! # test simple slices
%!assert(x.VBIAS(1:6), (-6:.2:-5).');
%!assert(x.array(6:10, 2), (-5:.2:-4.2).');
%!assert(x.array(6, "OK_"), 'B');
%!assert(x.array(2, logical([0 0 1 1])), x.array(2, 3:4))
%!assert(size(y.array(:, :, :)), [10 5 2]);
%!assert(size(y.array(:, :)), [10 10]);
%!assert(size(y.array(:, 2, 2)), [10 1]);
%!assert(size(y.array(:, 2)), [10 1]);
%!assert(y.C(4:5), [NaN NaN]);
%!error error("Accessing past limits")
%! x(1, 8)
%! x(11, 1)
%! x(1, logical(ones(1, 7)))
%! x.types{"FReq*"}
%! x(1, :)
%!test
%! #!! removed -- output format may only be specified before selection
%! #select one column
%! #assert(x(1:3, 1).cell(:), x.cell(1:3)(:))
%! #assert(x(33:35).cell.', x(33:35).cell(:))
%! #select two columns
%!assert(x.cell(1:10, 2:3)(:), x.cell(11:30)(:))
%!error error("Complex accesses");
%! x(:);
%! x.dataframe(:);
%! x.dataframe.cell
%!test
%! # test modifying column type
%! x.types("Freq") = 'uint32'; x.types(2) = 'single';
%! # downclassing must occur !
%!assert(class(x.array(1, ["Freq"; "C"])), 'uint32')
%! # upclassing must occur !
%!assert(class(x.as.double(1, ["Freq"; "C"])), 'double')
%!error error("Incorrect internal field sub-referencing")
%! x.types{"Freq"}
%!error error("mixing different types")
%! x([12:18 22:28 32:38]);
%!error error("non-square access")
%! x([22:28 32:37]).dataframe;
%! x.cell([1:19]);
%!error error("Single-dimension name access")
%! x("Freq");
%!test
%! # complex access
%! x(x(:, "OK_") == '?', ["C"; "G"]) = NaN;
%!assert(x.array(4, 5:6), [NaN NaN])
%! # extract values
%! y = x.dataframe(x(:, "OK_") =='A', {"Freq", "VB*", "C", "G"});
%! #comparison using cell output class, because assert use (:)
%!assert(y.cell(:, 2:3), x.cell([1 7], ["VB*"; "C"]))
%!assert(x.array((33:35).'), x.array(3:5, 4))
%! #test further dereferencing
%!assert(x.array(:, "C")(2:4), x.array(2:4, "C"))
%! # complex modifications through cell access
%! z = dataframe(x, {"VB*", {"Polarity" ,"Sense"; ones(12,2), zeros(10,2)}});
%!assert(size(z), [12 9 2]);
%!assert(z.Sense(11:12, :), NA*ones(2, 2));
%!assert(size(z._over{2}, 2) - size(x._over{2}, 2), 2);
%! x = dataframe(randn(3, 3)); y = x.array;
%! xl = x > 0; yl = y > 0;
%! a = zeros(size(yl)); b = a;
%! a(xl) = 1; b(yl) = 1;
%!assert(a, b);
%! [a, b] = sort(y(:)); y = reshape(b, 3, 3); x = dataframe(y);
%! a = zeros(size(yl)); b = a;
%! a(x) = 10:-1:2; b(y) = 10:-1:2;
%!assert(a, b);
%! x = dataframe(randn(3, 3)); y = randn(3, 3); z = dataframe(y);
%!assert((x+y(1)).array, x.array+y(1))
%!assert((y(1)+x).array, y(1)+x.array)
%!assert((x+y).array, x.array+y)
%!assert((y+x).array, y+x.array)
%!assert((x+z).array, x.array+z.array)
%!assert((bsxfun(@plus, x, z(1,:))).array, bsxfun(@plus, x.array, z.array(1,:)))
%!assert((bsxfun(@plus, x, z(:,1))).array, bsxfun(@plus, x.array, z.array(:,1)))
%!assert((bsxfun(@minus,z(1,:),x)).array, bsxfun(@minus,z.array(1,:),x.array))
%!assert((bsxfun(@minus,z(:,1),x)).array, bsxfun(@minus,z.array(:,1),x.array))
%!assert((x > 0).array, x.array > 0)
%!assert((0 > x).array, 0 > x.array)
%!assert((x > y).array, x.array > y);
%!assert((y > x).array, y > x.array);
%!assert((x > z).array, x.array > z.array)
%!assert((x*y(1)).array, x.array*y(1))
%!assert((y(1)*x).array, y(1)*x.array)
%!assert((x.*y).array, x.array.*y)
%!assert((y.*x).array, y.*x.array)
%!assert((z.*x).array, z.array.*x.array)
%!assert((x*y).array, x.array*y)
%!assert((y*x).array, y*x.array)
%!assert((x*z).array, x.array*z.array)
%!assert((x/y(1)).array, x.array/y(1))
%!assert((x./y).array, x.array./y)
%!assert((y./x).array, y./x.array)
%!assert((z./x).array, z.array./x.array)
%!assert((x/y).array, x.array/y)
%!assert((y/x).array, y/x.array)
%!assert((x/z).array, x.array/z.array)
% # left division is a bit more complicated
%!assert((x(1, 1)\y).array, x.array(1, 1)\y)
%!assert((x(:, 1)\y).array, x.array(:, 1)\y, sqrt(eps))
%!assert((x\y).array, x.array\y)
%!assert((y\x).array, y\x.array)
%!assert((x\z).array, x.array\z.array)
% x=dataframe(randn(4, 3, 2)); y=randn(4, 3, 2); z=dataframe(y);
%!assert((abs(sum(center(x)) < sqrt(eps)).array))
%!assert((x+y).array, x.array+y)
%!assert((y+x).array, y+x.array)
%!assert((x+z).array, x.array+z.array);
%!assert((bsxfun(@plus,x,z(1,:,:))).array, bsxfun(@plus,x.array,z.array(1,:,:)));
%!assert((bsxfun(@plus,x,z(:,1,:))).array, bsxfun(@plus,x.array,z.array(:,1,:)));
%!assert((bsxfun(@plus,z(1,:,:),x)).array, bsxfun(@plus,z.array(1,:,:),x.array));
%!assert((bsxfun(@plus,z(:,1,:),x)).array, bsxfun(@plus,z.array(:,1,:),x.array));
%! [a, b] = sort(x(:)); x=dataframe(reshape((1:9)(b), [3 3]));
%! y = reshape((1:9)(b), [3 3]); z = dataframe(y);
%!assert(x(x(:)), y(x(:)));
%!assert(x(y(:)), y(y(:)));
%! z= x(x);
%!assert(z.array, y(x));
%! z = x(y);
%!assert(z.array, y(y));
%!demo
%! x=dataframe('octave_frame/data_test.csv')
%! disp("Access as a struct: x.VBIAS(1:6)")
%! x.VBIAS(1:6)
%! pause; disp("Access as a matrix: x(6, 'OK')")
%! x(6, "OK?")
%! pause; disp("Removing the row names: x.rownames = []");
%! x.rownames = []
%! pause; disp("Modifying column type: x.types['Freq']='uint32'");
%! x.types("Freq")='uint32'
%! pause; disp("Partial extract");
%! disp("y = x(x(:, 'OK.') == 'A'|x(:, ""OK?"") == 'B', {'Freq', 'VB*', 'C', 'G'}")
%! y = x(x(:, 'OK.') == 'A'|x(:, "OK?") == 'B', {'Freq', 'VB*', 'C', 'G'})
%! disp("y.rownames = char({'low', 'med', 'med', 'high'})");
%! y.rownames = char({'low', 'med', 'med', 'high'})
%! pause; disp("Partial modification of one column")
%! disp("y.Freq('med')=[290e3; 310e3]")
%! y.Freq('med') = [290e3; 310e3]
%! pause; disp('Complex access');
%! disp("y.C('med')([2 1])");
%! y.C('med')([2 1])
%! pause; disp('Print stats about a dataframe: summary(y)');
%! summary(y)
%!demo
%! disp('Modifying a dataframe from a cell array')
%! RHS={ 'don''t care', 'idx', 'Vb', 'freq', 'Ib', 'C', 'status', 'comment'
%! 'yes', uint16(5), single(3.2), 10000, 1e-11, 6e-13, 'bla', '@'
%! 'no', uint16(16), 4, 12000, 2e-11, 4e-13, 7, 'X'};
%! disp("Resetting a dataframe: x=dataframe([])");
%! x = dataframe([]);
%! x(:, :) = RHS
%! disp("Overwriting the second line")
%! RHS{1, 2} = "idg"; RHS{3, 1}= "No!";
%! disp("'x(2, :) = RHS(1:2, :)' will produce two warnings")
%! disp("Notice that only the second line content will change");
%! disp("x(2, :) = RHS(1:2, :)")
%! x(2, :) = RHS(1:2, :)
%! pause; disp('same effect, but skipping first column');
%! disp("x(1, :) = RHS([1 3], 2:end)");
%! x(1, []) = RHS([1 3], 2:end)
%!demo
%! disp("same game, but using row indexes.")
%! disp("Notice the first field name is empty")
%! RHS= { '', 'idx', 'Vb', 'freq', 'Ib', 'C', 'status', 'comment'
%! 5, uint32(16), 5.3, 11000, 3e-12, 5e-12, "may", "8th"};
%! disp("x= dataframe(RHS)")
%! x = dataframe(RHS)
%! pause; disp("The same effect is achieved by assigning to an empty dataframe")
%! x = dataframe([]);
%! x(:, :) = RHS
dataframe/inst/data_test.csv 0000644 0001750 0001750 00000001515 11501365041 017442 0 ustar carandraug carandraug #notice there is a extra separator
DataName, VBIAS, Freq, |IBIAS|, C, GOUT, OK?,
DataValue, -6, 300000, 1.6272E-11, 7.02154E-13, 1.60436E-07, 'A',
DataValue, -5.8, 300000, 1.599E-11, 6.96065E-13, 1.5728E-07, 'E',
# a comment line, and an empty one
DataValue, -5.6, 300000, 1.379E-11, 6.90475E-13, 1.54887E-07, '!',
DataValue, -5.4, 300000, 1.442E-11, 6.85165E-13, 1.54777E-07, '?',
# the next lines use \r\n, \r and \f as linefeed
DataValue, -5.2, 300000, 1.293E-11, 6.79655E-13, 1.51887E-07, 'C',
DataValue, -5, 300000, 1.261E-11, 6.74438E-13, 1.49309E-07, 'B',
DataValue, -4.8, 300000, 1.439E-11, 6.70105E-13, 1.48758E-07, 'A', DataValue, -4.6, 300000, 1.089E-11, 6.64158E-13, 1.489E-07, '3',
# one empty input field
DataValue, -4.4, 300000, , 6.5859E-13, 1.45578E-07, 'C',
DataValue, -4.2, 300000, 1.061E-11, 6.53547E-13, 1.44306E-07, 'B',
dataframe/inst/@dataframe/isscalar.m 0000600 0001750 0001750 00000002145 11713521330 020750 0 ustar carandraug carandraug function resu = isscalar(df)
%# function resu = isscalar(df)
%# returns true if the dataframe can be converted to a vector
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: isscalar.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = ismatrix(df) & (length(find(df._cnt > 1)) < 1);
endfunction
dataframe/inst/@dataframe/prod.m 0000600 0001750 0001750 00000002066 11713521330 020115 0 ustar carandraug carandraug function resu = prod(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: prod.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if !isa(df, 'dataframe'),
resu = []; return;
endif
resu = df_mapper2(@prod, df, varargin{:});
endfunction
dataframe/inst/@dataframe/atan.m 0000600 0001750 0001750 00000001767 11713521330 020103 0 ustar carandraug carandraug function resu = atan(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: atan.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@atan, df, varargin{:});
endfunction
dataframe/inst/@dataframe/fix.m 0000600 0001750 0001750 00000001764 11713521330 017743 0 ustar carandraug carandraug function resu = fix(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: fix.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@fix, df, varargin{:});
endfunction
dataframe/inst/@dataframe/ldivide.m 0000600 0001750 0001750 00000002336 11713521330 020571 0 ustar carandraug carandraug function resu = ldivide(A, B);
%# function resu = ldivide(A, B)
%# Implements the dotted '\' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: ldivide.m 9585 2012-02-05 15:32:46Z cdemills $
%#
try
resu = df_func(@ldivide, A, B);
catch
disp(lasterr());
error("Operator .\\ problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe/inst/@dataframe/repmat.m 0000600 0001750 0001750 00000004043 11713521330 020436 0 ustar carandraug carandraug function resu = repmat(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: repmat.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df; idx = horzcat(varargin{:});
%# for the second dim, use either 1 either the 3rd one
dummy = idx;
if (length(dummy) > 2),
dummy(2) = [];
else
dummy(2) = 1;
endif
%# operate on first dim
if (idx(1) > 1),
resu = df_mapper(@repmat, df, [idx(1) 1]);
if (!isempty(df._name{1})),
resu._name{1} = feval(@repmat, df._name{1}, [idx(1) 1]);
resu._over{1} = feval(@repmat, df._over{1}, [idx(1) 1]);
endif
resu._cnt(1) = resu._cnt(1) * idx(1);
endif
if (dummy(2) > 1),
for indi = 1:resu._cnt(2),
resu._rep{indi} = feval(@repmat, resu._rep{indi}, [1 dummy(2)]);
endfor
endif
%# operate on ridx
resu._ridx = feval(@repmat, resu._ridx, idx);
%# operate on second dim
if (length(idx) > 1 && idx(2) > 1),
resu._data = feval(@repmat, resu._data, [1 idx(2)]);
resu._name{2} = feval(@repmat, df._name{2}, [idx(2) 1]);
resu._over{2} = feval(@repmat, df._over{2}, [1 idx(2)]);
resu._type = feval(@repmat, df._type, [1 idx(2)]);
resu._cnt(2) = resu._cnt(2) * idx(2);
endif
resu = df_thirddim(resu);
endfunction
dataframe/inst/@dataframe/cat.m 0000600 0001750 0001750 00000014064 11713521330 017721 0 ustar carandraug carandraug function resu = cat(dim, A, varargin)
%# function resu = cat(dim, A, varargin)
%# This is the concatenation operator for a dataframe object. "Dim"
%# has the same meaning as ordinary cat. Next arguments may be
%# dataframe, vector/matrix, or two elements cells. First one is taken
%# as row/column name, second as data.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: cat.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if (!isa(A, 'dataframe')),
A = dataframe(A);
endif
switch dim
case 1
resu = A;
for indi = 1:length(varargin),
B = varargin{indi};
if !isa(B, 'dataframe'),
if iscell(B) && 2 == length(B),
B = dataframe(B{2}, 'rownames', B{1});
else
B = dataframe(B, 'colnames', inputname(2+indi));
endif
endif
if resu._cnt(2) != B._cnt(2),
error('Different number of columns in dataframes');
endif
%# do not duplicate empty names
if !isempty(resu._name{1}) || !isempty(B._name{1}),
if length(resu._name{1}) < resu._cnt(1),
resu._name{1}(end+1:resu._cnt(1), 1) = {''};
endif
if length(B._name{1}) < B._cnt(1),
B._name{1}(end+1:B._cnt(1), 1) = {''};
endif
resu._name{1} = vertcat(resu._name{1}(:), B._name{1}(:));
resu._over{1} = [resu._over{1} B._over{1}];
endif
resu._cnt(1) = resu._cnt(1) + B._cnt(1);
if size(resu._ridx, 2) < size(B._ridx, 2),
resu._ridx(:, end+1:size(B._ridx, 2)) = NA;
elseif size(resu._ridx, 2) > size(B._ridx, 2),
B._ridx(:, end+1:size(resu._ridx, 2)) = NA;
endif
resu._ridx = [resu._ridx; B._ridx];
%# find data with same column names
dummy = A._over{2} & B._over{2};
indA = true(1, resu._cnt(2));
indB = true(1, resu._cnt(2));
for indj = 1:resu._cnt(2),
if (dummy(indj)),
indk = strmatch(resu._name{2}(indj), B._name{2}, 'exact');
if (~isempty(indk)),
indk = indk(1);
if ~strcmp(resu._type{indj}, B._type{indk}),
error("Trying to mix columns of different types");
endif
endif
else
indk = indj;
endif
resu._data{indj} = [resu._data{indj}; B._data{indk}];
indA(indj) = false; indB(indk) = false;
endfor
if any(indA) || any(indB)
error('Different number/names of columns in dataframe');
endif
endfor
case 2
resu = A;
for indi = 1:length(varargin),
B = varargin{indi};
if !isa(B, 'dataframe'),
if iscell(B) && 2 == length(B),
B = dataframe(B{2}, 'colnames', B{1});
else
B = dataframe(B, 'colnames', inputname(2+indi));
endif
B._ridx = resu._ridx; %# make them compatibles
endif
if resu._cnt(1) != B._cnt(1),
error('Different number of rows in dataframes');
endif
if any(resu._ridx(:) - B._ridx(:))
error('dataframes row indexes not matched');
endif
resu._name{2} = vertcat(resu._name{2}, B._name{2});
resu._over{2} = [resu._over{2} B._over{2}];
resu._data(resu._cnt(2)+(1:B._cnt(2))) = B._data;
resu._type(resu._cnt(2)+(1:B._cnt(2))) = B._type;
resu._cnt(2) = resu._cnt(2) + B._cnt(2);
endfor
case 3
resu = A;
for indi = 1:length(varargin),
B = varargin{indi};
if (!isa(B, 'dataframe')),
if (iscell(B) && 2 == length(B)),
B = dataframe(B{2}, 'rownames', B{1});
else
B = dataframe(B, 'colnames', inputname(indi+2));
endif
endif
if (resu._cnt(1) != B._cnt(1)),
error('Different number of rows in dataframes');
endif
if (resu._cnt(2) != B._cnt(2)),
error('Different number of columns in dataframes');
endif
%# to be merged against 3rd dim, rownames must be equals, if
%# non-empty. Columns are merged based upon their name; columns
%# with identic content are kept.
if size(resu._ridx, 2) < size(B._ridx, 2),
resu._ridx(:, end+1:size(B._ridx, 2)) = NA;
elseif size(resu._ridx, 2) > size(B._ridx, 2),
B._ridx(:, end+1:size(resu._ridx, 2)) = NA;
endif
resu._ridx = cat(3, resu._ridx, B._ridx);
%# find data with same column names
indA = true(1, resu._cnt(2));
indB = true(1, resu._cnt(2));
dummy = A._over{2} & B._over{2};
for indj = 1:resu._cnt(2),
if (dummy(indj)),
indk = strmatch(resu._name{2}(indj), B._name{2}, 'exact');
if (~isempty(indk)),
indk = indk(1);
if (~strcmp(resu._type{indj}, B._type{indk})),
error("Trying to mix columns of different types");
endif
endif
else
indk = indj;
endif
if (all([isnumeric(resu._data{indj}) isnumeric(B._data{indk})])),
%# iterate over the columns of resu and B
op1 = resu._data{indj}; op2 = B._data{indk};
for ind2=1:columns(op2),
indr = false;
for ind1=1:columns(op1),
if (all(abs(op1(:, ind1) - op2(:, ind2)) <= eps)),
resu._rep{indj} = [resu._rep{indj} ind1];
indr = true;
break;
endif
endfor
if (!indr),
%# pad in the second dim
resu._data{indj} = [resu._data{indj}, B._data{indk}];
resu._rep{indj} = [resu._rep{indj} 1+length(resu._rep{indj})];
endif
endfor
else
resu._data{indj} = [resu._data{indj} B._data{indk}];
resu._rep{indj} = [resu._rep{indj} 1+length(resu._rep({indj}))];
endif
indA(indj) = false; indB(indk) = false;
endfor
if (any(indA) || any(indB)),
error('Different number/names of columns in dataframe');
endif
endfor
resu = df_thirddim(resu);
otherwise
error('Incorrect call to cat');
endswitch
%# disp('End of cat'); keyboard
endfunction
dataframe/inst/@dataframe/erfcx.m 0000600 0001750 0001750 00000001772 11713521330 020263 0 ustar carandraug carandraug function resu = erfcx(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: erfcx.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@erfcx, df, varargin{:});
endfunction
dataframe/inst/@dataframe/isfield.m 0000600 0001750 0001750 00000005453 11713521330 020573 0 ustar carandraug carandraug function [resu, idx] = isfield(df, name, strict)
%# -*- texinfo -*-
%# @deftypefn {Function File} [@var{resu}, @var{idx}] = isfield
%# (@var{df}, @var{name}, @var{strict})
%# Return true if the expression @var{df} is a dataframe and it
%# includes an element matching @var{name}. If @var{name} is a cell
%# array, a logical array of equal dimension is returned. @var{idx}
%# contains the column indexes of number of fields matching
%# @var{name}. To enforce strict matching instead of regexp matching,
%# set the third argument to 'true'.
%# @end deftypefn
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: isfield.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if !isa(df, 'dataframe'),
resu = false; return;
endif
if nargin <2 || nargin > 3,
print_usage();
resu = false; return;
endif
if 2 == nargin, strict = false; endif
if isa(name, 'char'),
if strict, %# use strmatch to get indexes
for indi = size(name, 1):-1:1,
dummy = strmatch(name(indi, :), df._name{2}, "exact");
resu(indi, 1) = !isempty(dummy);
for indj = 1:length(dummy),
idx(indi, indj) = dummy(indj);
endfor
endfor
else
for indi = size(name, 1):-1:1,
try
dummy = df_name2idx(df._name{2}, name(indi, :), \
df._cnt(2), 'column');
resu(indi, 1) = !isempty(dummy);
for indj = 1:length(dummy),
idx(indi, indj) = dummy(indj);
endfor
catch
resu(indi, 1) = false; idx(indi, 1) = 0;
end_try_catch
endfor
endif
elseif isa(name, 'cell'),
if strict, %# use strmatch to get indexes
for indi = size(name, 1):-1:1,
dummy = strmatch(name{indi}, df._name{2}, "exact");
resu{indi, 1} = !isempty(dummy);
idx{indi, 1} = dummy;
endfor
else
for indi = length(name):-1:1,
try
dummy = df_name2idx(df._name{2}, name{indi}, \
df._cnt(2), 'column');
keyboard
resu{indi, 1} = !isempty(dummy); idx{indi, 1} = dummy;
catch
resu{indi, 1} = false; cnt{indi, 1} = 0;
end_try_catch
endfor
endif
endif
endfunction
dataframe/inst/@dataframe/reshape.m 0000600 0001750 0001750 00000002244 11713521330 020576 0 ustar carandraug carandraug function resu = reshape(df, varargin)
%# function resu = reshape(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: reshape.m 9585 2012-02-05 15:32:46Z cdemills $
%#
dummy = horzcat(varargin{:});
if (any(dummy != df._cnt)),
error('Function not yet implemented on dataframe');
else
resu = df; %# blank operation
endif
endfunction
dataframe/inst/@dataframe/tanh.m 0000600 0001750 0001750 00000001767 11713521330 020112 0 ustar carandraug carandraug function resu = tanh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: tanh.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@tanh, df, varargin{:});
endfunction
dataframe/inst/@dataframe/lt.m 0000600 0001750 0001750 00000002114 11713521330 017562 0 ustar carandraug carandraug function resu = lt(A, B);
%# function resu = minus(A, B)
%# Implements the '<' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: lt.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_func(@lt, A, B);
endfunction
dataframe/inst/@dataframe/finite.m 0000600 0001750 0001750 00000001775 11713521330 020435 0 ustar carandraug carandraug function resu = finite(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: finite.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@finite, df, varargin{:});
endfunction
dataframe/inst/@dataframe/cos.m 0000600 0001750 0001750 00000001764 11713521330 017741 0 ustar carandraug carandraug function resu = cos(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: cos.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@cos, df, varargin{:});
endfunction
dataframe/inst/@dataframe/mldivide.m 0000600 0001750 0001750 00000002361 11713521330 020744 0 ustar carandraug carandraug function resu = mldivide(A, B);
%# function resu = mldivide(A, B)
%# Implements the '\' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: mldivide.m 9585 2012-02-05 15:32:46Z cdemills $
%#
try
resu = df_func(@mldivide, A, B, false, [true false]);
catch
disp(lasterr());
error("Operator \\ problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe/inst/@dataframe/isempty.m 0000644 0001750 0001750 00000000462 11466455350 020666 0 ustar carandraug carandraug function resu = isempty(df)
%# -*- texinfo -*-
%# @deftypefn {Function File} isempty(@var{df})
%# Return 1 if df is an empty dataframe (either the number of rows, or
%# the number of columns, or both are zero). Otherwise, return 0.
%# @end deftypefn
resu = any(0 == size(df));
endfunction
dataframe/inst/@dataframe/subsref.m 0000600 0001750 0001750 00000065024 11713521330 020625 0 ustar carandraug carandraug function resu = subsref(df, S)
%# function resu = subsref(df, S)
%# This function returns a subpart of a dataframe. It is invoked when
%# calling df.field, df(value), or df{value}. In case of fields,
%# returns either the content of the container with the same name,
%# either the column with the same name, priority being given to the
%# container. In case of range, selection may occur on name or order
%# (not rowidx for rows). If the result is homogenous, it is
%# downclassed. In case an extra field is given, is it used to
%# determine the class of the return value. F.i.,
%# df(1, 2, 'dataframe')
%# does not return a scalar but a dataframe, keeping all the meta-information
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: subsref.m 9585 2012-02-05 15:32:46Z cdemills $
%#
%# what kind of object should we return ?
asked_output_type = ''; asked_output_format = [];
if (strcmp (S(1).type, '.')) %# struct access
indi = strmatch (S(1).subs, 'as');
if (~isempty (indi))
if (length (S) < 2 || ~strcmp (S(2).type, '.'))
error ("The output format qualifier 'as' must be followed by a type");
endif
asked_output_type = "array";
asked_output_format = S(2).subs; S = S(3:end);
else
indi = strmatch(S(1).subs, 'array');
if (~isempty (indi))
asked_output_type = "array";
S = S(2:end);
else
indi = strmatch (S(1).subs, char ('df', class (df)));
if (~isempty (indi))
%# requiring a dataframe
if (1 == indi) %# 'df' = short for 'dataframe'
asked_output_type = 'dataframe';
else
asked_output_type = S(1).subs;
endif
S = S(2:end);
if (isempty (S) && strcmp (asked_output_type, class (df)))
resu = df; return;
endif
else
indi = strmatch(S(1).subs, 'cell');
if (~isempty (indi))
asked_output_type = S(1).subs;
S = S(2:end);
else
%# access as a pseudo-struct
resu = struct(df); %# avoid recursive calls
if (1 == strfind(S(1).subs, '_')) %# its an internal field name
%# FIXME: this should only be called from class members and friends
%# FIXME -- in case many columns are asked, horzcat them
resu = horzcat (feval (@subsref, resu, S));
else
%# direct access through the exact column name
indi = strmatch(S(1).subs, resu._name{2}, "exact");
if (~isempty (indi))
resu = df._data{indi}; %# extract colum;
if (strcmp (df._type{indi}, 'char') \
&& 1 == size (df._data{indi}, 2))
resu = char (resu)
endif
if (length (S) > 1)
dummy = S(2:end); S = S(1);
switch dummy(1).type
case '()'
if (isa(dummy(1).subs{1}, "char"))
[indr, nrow, dummy(1).subs{1}] = \
df_name2idx(df._name{1}, dummy(1).subs{1}, df._cnt(1), 'row');
endif
resu = feval(@subsref, resu, dummy);
otherwise
error ("Invalid column access");
endswitch
endif
else %# access of an attribute
dummy = S(2:end); S = S(1);
postop = ''; further_deref = false;
%# translate the external to internal name
switch S(1).subs
case "rownames"
S(1).subs = "_name";
S(2).type = "{}"; S(2).subs{1}= 1;
postop = @(x) char (x);
case "colnames"
S(1).subs = "_name";
S(2).type = "{}"; S(2).subs{1}= 2;
postop = @(x) char (x); further_deref = true;
case "rowcnt"
S(1).subs = "_cnt";
S(2).type = "()"; S(2).subs{1}= 1;
case "colcnt"
S(1).subs = "_cnt";
S(2).type = "()"; S(2).subs{1}= 2;
case "rowidx"
S(1).subs = "_ridx"; further_deref = true;
case "types" %# this one should be accessed as a matrix
S(1).subs = "_type"; further_deref = true;
case "source"
S(1).subs = "_src";
further_deref = true;
case "comment"
S(1).subs = "_cmt";
further_deref = true;
case "new"
if (isempty (dummy))
resu = dataframe([]);
else
if (!strcmp (dummy(1).type, "()"))
error ("Bogus constructor call");
endif
resu = dataframe(dummy(1).subs{:});
endif
if (length (dummy) > 1)
resu = subsref(resu, dummy(2:end));
endif
return;
otherwise
error ("Unknown column name: %s", S(1).subs);
endswitch
if (!isempty (dummy))
if ~further_deref,
error ("Invalid sub-dereferencing");
endif
if (isa(dummy(1).subs{1}, "char"))
[indc, ncol, dummy(1).subs{1}] = \
df_name2idx(df._name{2}, dummy(1).subs{1}, \
df._cnt(2), 'column');
if (isempty (indc))
%# should be already catched inside df_name2idx
error ("Unknown column name: %s", dummy(1).subs{1});
endif
endif
if (!strcmp (dummy(1).type, '()'))
error ("Invalid internal field name sub-access, use () instead");
endif
endif
%# workaround around bug 30921, fixed in hg changeset 10937
%# if !isempty (dummy)
S = [S dummy];
%# endif
resu = feval(@subsref, resu, S);
if (!isempty (postop))
resu = postop(resu);
endif
endif
endif
return
endif
endif
endif
endif
endif
%# disp('line 103 '); keyboard
IsFirst = true;
while 1, %# avoid recursive calls on dataframe sub-accesses
%# a priori, performs whole accesses
nrow = df._cnt(1); indr = 1:nrow;
ncol = df._cnt(2); indc = 1:ncol;
%# linear indexes
[fullindr, fullindc, fullinds, onedimidx] = deal([]);
%# iterate over S, sort out strange constructs as x()()(1:10, 1:4)
while length (S) > 0,
if (strcmp (S(1).type, '{}'))
if (!IsFirst || !isempty (asked_output_format))
error ("Illegal dataframe dereferencing");
endif
[asked_output_type, asked_output_format] = deal('cell');
elseif (!strcmp (S(1).type, '()'))
%# disp(S); keyboard
error ("Illegal dataframe dereferencing");
endif
if (isempty (S(1).subs)) %# process calls like x()
if (isempty (asked_output_type))
asked_output_type = class (df);
endif
if (length (S) <= 1)
if (strcmp (asked_output_type, class (df)))
%# whole access without conversion
resu = df; return;
endif
break; %# no dimension specified -- select all, the
%# asked_output_type was set in a previous iteration
else
%# avoid recursive calls
S = S(2:end);
IsFirst = false; continue;
endif
endif
%# generic access
if (isempty (S(1).subs{1}))
error ('subsref: first dimension empty ???');
endif
if (length (S(1).subs) > 1)
if (isempty (S(1).subs{2}))
error ('subsref: second dimension empty ???');
endif
[indr, nrow, S(1).subs{1}] = \
df_name2idx(df._name{1}, S(1).subs{1}, df._cnt(1), 'row');
if (!isa(indr, 'char') && max (indr) > df._cnt(1))
error ("Accessing dataframe past end of lines");
endif
[indc, ncol, S(1).subs{2}] = \
df_name2idx(df._name{2}, S(1).subs{2}, df._cnt(2), 'column');
if (max (indc) > df._cnt(2))
%# is it a two index access of a 3D structure ?
if (length (df._cnt) > 2)
[fullindc, fullinds] = ind2sub (df._cnt(2:3), indc);
if (fullindc <= df._cnt(2))
indc = fullindc; inds = fullinds;
endif
endif
%# retest
if (max (indc) > df._cnt(2))
error ("Accessing dataframe past end of columns");
endif
endif
else
%# one single dim -- probably something like df(:), df(A), ...
fullindr = 1; onedimidx = S(1).subs{1};
switch class (S(1).subs{1})
case {'char'} %# one dimensional access, disallow it if not ':'
if (strcmp (S(1).subs{1}, ':'))
fullindr = []; fullindc = []; asked_output_type = "array";
else
error (["Accessing through single dimension and name " \
S(1).subs{1} " not allowed\n-- use variable(:, 'name') instead"]);
endif
case {'logical'}
S(1).subs{1} = find(S(1).subs{1});
case {'dataframe'}
S(1).subs{1} = subsindex(S(1).subs{1}, 1);
endswitch
if (isempty (S(1).subs{1}))
resu = df_colmeta(df);
return;
endif
if (!isempty (fullindr))
%# convert linear index to subscripts
if (length (df._cnt) <= 2)
[fullindr, fullindc] = ind2sub (df._cnt, S(1).subs{1});
fullinds = ones (size (fullindr));
else
dummy = max (cellfun(@length, df._rep));
[fullindr, fullindc, fullinds] = ind2sub\
([df._cnt dummy], S(1).subs{1});
endif
indr = unique (fullindr); nrow = length (indr);
%# determine on which columns we'll iterate
indc = unique (fullindc)(:).'; ncol = length (indc);
if (!isempty (asked_output_type) && ncol > 1)
%# verify that the extracted values form a square matrix
dummy = zeros(indr(end), indc(end));
for indi = (1:ncol)
indj = find (fullindc == indc(indi));
dummy(fullindr(indj), indc(indi)) = 1;
endfor
dummy = dummy(indr(1):indr(end), indc(1):indc(end));
if (any (any (dummy!= 1)))
error ("Vector-like selection is not rectangular for the asked output type");
else
fullindr = []; fullindc = [];
endif
endif
endif
endif
%# at this point, S is either empty, either contains further dereferencing
break;
endwhile
%# we're ready to extract data
%# disp('line 211 '); keyboard
if (isempty (asked_output_type))
output_type = class (df); %# force df output
else
if (!strcmp (asked_output_type, "array") \
|| !isempty (asked_output_format))
%# override the class of the return value
output_type = asked_output_type;
else
%# can the data be merged ?
output_type = df._data{indc(1)}(1);
dummy = isnumeric(df._data{indc(1)});
for indi = (2:ncol)
dummy = dummy & isnumeric (df._data{indc(indi)});
if (~strcmp (class (output_type), df._type{indc(indi)}))
if (dummy)
%# let downclassing occur
output_type = horzcat (output_type, df._data{indc(indi)}(1));
continue;
endif
%# unmixable args -- falls back to type of parent container
error ("Selected columns %s not compatible with cat() -- use 'cell' as output format", mat2str (indc));
%# dead code -- suppress previous line for switching automagically the output format to df
output_type = class (df);
break;
endif
endfor
asked_output_format = class (output_type);
output_type = "array";
endif
endif
if (any(strcmp ({output_type, asked_output_type}, class (df))))
if (!isempty (S) && (1 == length (S(1).subs)))
%# is the selection index vector-like ?
if ((isnumeric(S(1).subs{1}) && isvector(S(1).subs{1}) &&
df._cnt(1) > 1) && isempty (asked_output_type))
%# in the case of vector input, favor array output
[asked_output_type, output_type] = deal("array");
endif
endif
endif
indt = {}; %# in case we have to mix matrix of different width
if (!isempty (fullinds))
inds = unique (fullinds); nseq = length (inds);
indt(1, 1:df._cnt(2)) = inds;
else
inds = 1; indt(1, 1:df._cnt(2)) = inds; nseq = 1;
if (isempty (S) || all(cellfun('isclass', S(1).subs, 'char')))
inds = ':'; indt(1, 1:df._cnt(2)) = inds;
nseq = max (cellfun(@length, df._rep(indc)));
else
if (length (S(1).subs) > 1) %# access-as-matrix
if (length (S(1).subs) > 2)
inds = S(1).subs{3};
if (isa(inds, 'char'))
nseq = max (cellfun(@length, df._rep(indc)));
indt(1, 1:df._cnt(2)) = inds;
else
%# generate a specific index for each column
nseq = length (inds);
dummy = cellfun(@length, df._rep(indc));
indt(1, 1:df._cnt(2)) = inds;
indt(1==dummy) = 1;
endif
endif
endif
endif
endif
if (strcmp (output_type, class (df)))
%# disp('line 295 '); keyboard
%# export the result as a dataframe
resu = dataframe ([]);
resu._cnt(1) = nrow; resu._cnt(2) = ncol;
if (isempty (fullindr))
for indi = (1:ncol)
resu._data{indi} = df._data{indc(indi)}\
(indr, df._rep{indc(indi)}(indt{indc(indi)}));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
resu._name{2}(indi, 1) = df._name{2}(indc(indi));
resu._over{2}(1, indi) = df._over{2}(indc(indi));
resu._type{indi} = df._type{indc(indi)};
endfor
if (!isempty (df._ridx) && size (df._ridx, 2) >= inds)
resu._ridx = df._ridx(indr, inds);
endif
if (length (df._name{1}) >= max (indr))
resu._name{1}(1:nrow, 1) = df._name{1}(indr);
resu._over{1}(1, 1:nrow) = df._over{1}(indr);
endif
else
dummy = df_whole(df);
dummy = dummy(onedimidx);
for indi = (1:resu._cnt(2))
indc = unique (fullindc(:, indi));
if (1 == length (indc))
resu._name{2}(indi)= df._name{2}(indc);
resu._over{2}(indi)= df._over{2}(indc);
unfolded = df._data{indc}(:, df._rep{indc});
indj = sub2ind (size (unfolded), fullindr(:, indi), \
fullinds(:, indi));
resu._data{indi} = unfolded(indj);
resu._type{indi} = df._type{indc};
resu._rep{indi} = 1:size (resu._data{indi}, 2);
else
resu._name{2}(indi)= ["X" num2str(indi)];
resu._over{2}(indi)= true;
resu._data{indi} = squeeze(dummy(:, indi, :));
resu._type{indi} = class (dummy(1, indi, 1));
resu._rep{indi} = 1:size (resu._data{indi}, 2);
endif
endfor
if (1 == size (df._ridx, 2))
resu._ridx = repmat (df._ridx, [1 ncol 1]);
else
resu._ridx = df._ridx;
endif
if (!isempty (resu._ridx))
if (size (resu._ridx, 2) > 1)
resu._ridx = resu._ridx(indr, indc);
else
resu._ridx = resu._ridx(indr);
endif
endif
endif
%# to be verified : keyboard
resu._src = df._src;
resu._cmt = df._cmt;
resu = df_thirddim(resu);
if (length (S) > 1) %# perform further access, if required
df = resu;
S = S(2:end); %# avoid recursive calls
continue; %# restart the loop around line 150
endif
return;
elseif (strcmp (output_type, 'cell'))
%# export the result as a cell array
if (isempty (asked_output_format))
resu = cell (2+nrow, 2+ncol); resu(1:end, 1:2) = {''};
resu(2, 3:end) = df._type(indc); %column type
row_offs = 2; col_offs = 2;
for indi = (1:ncol)
resu{1, 2+indi} = df._name{2}{indc(indi)}; % column name
endfor
resu(3:end, 1) = mat2cell (df._ridx(indr), ones (nrow, 1), 1);
if (length (df._name{1}) >= max (indr))
resu(3:end, 2) = df._name{1}{indr};
endif
else
resu = cell (nrow, ncol);
row_offs = 0; col_offs = 0;
endif
for indi = (1:ncol)
switch df._type{indc(indi)} % cell content
case {'char' }
%# dummy = cellstr(df._data{indc(indi)}(indr, :));
dummy = df._data{indc(indi)}(indr, :);
resu(1+row_offs:end, indi+col_offs) = dummy;
otherwise
dummy = df._data{indc(indi)}(indr, :);
resu(1+row_offs:end, indi+col_offs) = \
mat2cell (dummy, ones (nrow, 1), size (dummy, 2));
endswitch
endfor
%# did we arrive here by x.cell ?
if (0 == length (S)) return; endif
%# perform the selection on the content, keeping the header
if (length (S) > 1) %# perform further access, if required
if (~strcmp (S(2).type, '()'))
error ("Illegal dataframe-as-cell sub-dereferencing");
endif
if (!isempty (asked_output_format))
resu = feval(@subsref, resu, S(2:end));
else
if (length (S(2).subs) != 1)
%# normal, two-dimensionnal access apply the selection on the
%# zone containing the data
dummy = S;
if (!isempty (dummy(2).subs))
dummy(2).subs{2} = ':';
endif
resuf = cat (2, \
%# reselect indexes
feval (@subsref, resu(3:end, 1),
dummy(2:end)), \
%# reselect rownames
feval (@subsref, resu(3:end, 2),
dummy(2:end)), \
%# extract - reorder - whatever
feval (@subsref, resu(3:end, 3:end), S(2:end))
\
);
dummy = S;
if (!isempty (dummy(2).subs))
dummy(2).subs{1} = [1 2];
endif
resuf = cat(1, \
%# reselect column names and types
[cell(2, 2) feval(@subsref, resu(1:2,
3:end), \
dummy(2:end))], \
resuf \
);
resuf(1:2, 1:2) = {''}; resu = resuf;
else
%# one dimensionnal access of the whole 2D cell array -- you
%# asked it, you got it
resu = feval(@subsref, resu(:), S(2:end));
if (!isa(S(2).subs{1}, 'char') \
&& size (S(2).subs{1}, 2) > 1)
resu = resu.';
endif
endif
endif
elseif (1 == length (S(1).subs))
resu = resu(:);
if (!isa(S(1).subs{1}, 'char') \
&& size (S(1).subs{1}, 2) > 1)
resu = resu.';
endif
endif
return; %# no more iteration required
else
%# export the result as a vector/matrix. Rules:
%# * x(:, :, :) returns a 3D matrix
%# * x(:, n:m, :) returns a 3D matrix
%# * x(:, :) returns a horzcat of the third dimension
%# * x(:, n:m) select only the first sequence
%# * x(:) returns a vertcat of the columns of x(:, :)
%# disp('line 403 '); keyboard
if (isempty (S) || isempty (S(1).subs) || \
length (S(1).subs) > 1 || \
(isnumeric(S(1).subs{1}) && !isvector(S(1).subs{1})))
%# access-as-matrix
df = struct(df); %# remove the magic, avoid recursive calls
if (isempty (fullindr)) %# two index access
if (~isempty (asked_output_format)) %# force a conversion
if (strmatch(asked_output_format, 'cell'))
extractfunc = @(x) mat2cell\
(df._data{indc(x)}(indr, df._rep{indc(x)}(inds)), \
ones (nrow, 1));
else
extractfunc = @(x) cast ( df._data{indc(x)}\
(indr, df._rep{indc(x)}(inds)),\
asked_output_format);
endif
else %# let the usual downclassing occur
extractfunc = @(x) df._data{indc(x)}(indr, df._rep{indc(x)}(inds));
endif
try
if (nseq > 1)
dummy = reshape (extractfunc (1), nrow, 1, []);
if (size (dummy, 3) < nseq)
dummy = repmat (dummy, [1 1 nseq]);
endif
else
dummy = extractfunc (1);
endif
catch
error ("Column %d format (%s) can't be converted to %s", \
indc(1), df._type{indc(1)}, asked_output_format);
end_try_catch
if (ncol > 1)
%# dynamic allocation with the final type
resu = repmat (dummy, [1 ncol]);
for indi = (2:ncol)
try
if (nseq > 1)
dummy = reshape (extractfunc (indi), nrow, 1, []);
if (size (dummy, 3) < nseq)
dummy = repmat (dummy, [1 1 nseq]);
endif
else
dummy = extractfunc (indi);
endif
catch
error ("Column %d format (%s) can't be converted to %s", \
indc(indi), df._type{indc(indi)}, asked_output_format);
end_try_catch
resu(:, indi, :) = dummy;
endfor
else
if (strcmp (df._type{indc(1)}, 'char'))
resu = char (dummy);
else
resu = dummy;
endif
endif
if (!isempty (S) && 2 == length (S(1).subs) \
&& all(cellfun('isclass', S(1).subs, 'char')))
resu = reshape (resu, nrow, ncol*nseq);
endif
else %# one index access
%# disp('line 557'); keyboard
if (~isempty (asked_output_format)) %# force a conversion
if (strmatch (asked_output_format, 'cell'))
extractfunc = @(x, y) mat2cell (df._data{x}(:, df._rep{x}(y)), \
ones (length (y), 1));
else
extractfunc = @(x, y) cast (df._data{x}(:, df._rep{x})(y), \
asked_output_format);
endif
else %# let the usual downclassing occur
extractfunc = @(x, y) df._data{x}(:, df._rep{x})(y);
endif
try
resu = zeros(0, class (sum (cellfun (@(x) zeros (1, class (x(1))),\
df._data(indc)))));
for indi = (indc)
dummy = find (indi == fullindc); %# linear global index
%# linear index for this matrix
idx = sub2ind (size (df._data{indi}), fullindr(dummy), \
fullinds(dummy));
resu(dummy) = extractfunc (indi, idx);
endfor
catch
disp (lasterr);
error ("Column %d format (%s) can't be converted to %s", \
indi, df._type{indi}, asked_output_format);
end_try_catch
resu = reshape (resu, size (onedimidx));
endif
else %# access-as-vector
%# disp('line 548 '); keyboard
if (!isempty (fullindr))
switch df._type{indc(1)}
case {'char'}
resu = df._data{indc(1)}(fullindr(1), \
df._rep{indc(1)}(fullinds(1)));
for indi = (2:length (fullindr))
resu = char (resu, df._data{indc(indi)}\
(fullindr(indi), df._rep{indc(indi)}(fullinds(indi))));
endfor
otherwise
if (isempty (asked_output_format))
resu = df._data{fullindc(1)}\
(fullindr(1), df._rep{fullindc(1)}(fullinds(1)));
else %# this type will propagate with subsequent cat
resu = cast (df._data{fullindc(1)}\
(fullindr(1), df._rep{fullindc(1)}(fullinds(1))),\
asked_output_format);
endif
for indi = (2:length (fullindr))
resu = cat(1, resu, df._data{fullindc(indi)}\
(fullindr(indi), \
df._rep{fullindc(indi)}(fullinds(indi))));
endfor
endswitch
else %# using the (:) operator
resu = df_whole(df)(:);
endif
if (!isa(S(1).subs{1}, 'char') \
&& size (S(1).subs{1}, 2) > 1)
resu = resu.';
endif
endif
if (length (S) > 1) %# perform further access, if required
%# disp('line 442 '); keyboard
resu = feval(@subsref, resu, S(2:end));
endif
endif
return; %# no more iteration required
endwhile
%# disp("line 343 !?!"); %# keyboard
return
endfunction
dataframe/inst/@dataframe/times.m 0000600 0001750 0001750 00000002325 11713521330 020270 0 ustar carandraug carandraug function resu = times(A, B);
%# function resu = times(A, B)
%# Implements the dotted '*' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: times.m 9585 2012-02-05 15:32:46Z cdemills $
%#
try
resu = df_func(@times, A, B);
catch
disp(lasterr());
error("Operator .* problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe/inst/@dataframe/uminus.m 0000600 0001750 0001750 00000002113 11713521330 020462 0 ustar carandraug carandraug function resu = uminus(df);
%# function resu = uminus(df)
%# Implements the unitary '-' operator for a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: uminus.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@uminus, df);
endfunction
dataframe/inst/@dataframe/isna.m 0000600 0001750 0001750 00000001767 11713521330 020112 0 ustar carandraug carandraug function resu = isna(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: isna.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@isna, df, varargin{:});
endfunction
dataframe/inst/@dataframe/conj.m 0000600 0001750 0001750 00000001767 11713521330 020111 0 ustar carandraug carandraug function resu = conj(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: conj.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@conj, df, varargin{:});
endfunction
dataframe/inst/@dataframe/rationale.txt 0000644 0001750 0001750 00000012243 11426564155 021535 0 ustar carandraug carandraug 1) Context
I was recently performing I-V measurements of a MOS
(Metal-Oxide-Semiconductor) structure. A full set of measurements
contained a DC biaising voltage, a AC frequency, a small signal
capacitance and conductance. I had to change a few times the
measurement device configuration, so sometimes the sweeping occured
first on frequency, then on voltage, sometimes in the reverse
order. To make it short, I had to deal with many input files with
inconsistent columns order. The code to identify this order quickly
became clumsy.
The idea of a dataframe is to implement a mix between matrix and
cells. Its' like a matrix, where each column contains elements of the
same type. Unlike a matrix, columns type may be dissimilar. Also,
each colum MUST have a name, and rows MAY have a name. Moreover, to
make it easy to interface with databases, each row must have an unique
identifier. The goal is to make possible to use constructs like
y(:, ["Fr*"; "VB*"; "C";"G"])
where y is the dataframe, and column selection is based on
regexp. This way, the translation between names and indexes uses all
the power of regexpes.
2) Implementation
a dataframe is a class containing the following members:
_cnt = [0 0] : row count, column count, ... nth dimension count
_name = cell(1, 2) : row names, column names, ...
_ridx = [] : a unique Id for each row
_data = cell(0, 0) : a container for each column
_type = cell(0, 0) : the type of each column
The constructor can be used as
- no argument: convert the whole workspace to a dataframe (TBD)
- one null argument: return an empty dataframe
- one numeric or cell argument: transform it to a dataframe; tries to
infer column names from the name of the input argument.
- one char array with more than one line: uses it as rownames
- one single line char array: take it as the name of a file to read
data from. Expected format is csv, try to be carefull with
quoted/unquoted strings, also tries to remove trailing and leading
spaces from string entries. Do not try to cope with things such as
separator INSIDE quoted strings.
-supplemental arguments may occur either as pairs (string, value),
either as vectors. In the first case, the string contains an optional
parameter whose value is contained in the next argument. In the
second case, the argument is right-appended to the dataframe. Valid
optional parameters are
- rownames: a character array with the row names
- unquot: a logical to indicate if strings must be unquoted, default=true
- seeked: a string which must occur in the first row to start
considering values. Previous lines are skipped.
3) Access (reading)
- like a single matrix: df(:, 3); df(3, :). If all the results are of
the same type, returns a matrix, otherwise a dataframe. This behavior
can be inhibited by having the last argument set to 'dataframe':
df(3, 3, 'dataframe') will return a one-by-one dataframe
- by columnames:
df(:, ["Fr*"; "VB*"; "C";])
will try to match a columname beginning by "F" followed by an
optional 'r', thus 'F', 'Fréquence' and 'Freqs'; then a columname
starting by "V" with an optional "B", like f.i. "VBias", then a
columname with is the exact string 'C'.
- by rownames: same principle
- either member selector may also be logical:
df(df.OK=='A', ['C';'G'])
- as a struct: either use one of the column name (df.C), either use
one of the allowed accessor for internal fields: "rownames",
"colnames", "rowcnt", "colcnt", "rowidx", "types". Direct access to
the members like y._type is allowed, but should be restricted to
class members and friends. "types" accept both numeric and strings
arguments, the latter being converter to column order based upon
columns name.
- as a cell: TODO: define how to fill the cell array with all the
fields.
4) Modifying
- as a matrix, using '()': use the same syntax as reading:
df(3, 'Fr*') = 200
df(df.OK=='?', ['C'; 'G']) = NaN;
Note that removing elements may only occur on a full row of colum
basis. Removing a single element is not allowed.
- as a struct: either access a columname, as
df.C = [];
either accessing the internal fields through entry points 'rownames'
and 'colnames', where care is taken to adapt the strings width in
order to make them compatibles. The entry point "types", with
arguments numeric or strings, has the effect to cast whole column(s)
to a new type:
df.types{[3 5]} = 'uint16'
df.type{"Freq"} = "uint32"
- as a cell: TBD
5) other overloaded functions: display, size, numel, cat. The latter
has to be thoroughfully tested. In particular, I've put the
restriction that horizontal cat requires that the row indexes are the
same for both elems. For vertical cat, how should we proceed ? Require
uniqueness of row indexes, and sorting ? Other ?
6) to be done:
- the 'load' function is in fact contained inside the constructor;
maybe we should have a specific load function ?
- be able to load a dataframe from a URI specification
- write a simple 'save' function
- adding data to a dataframe: R doesn't seems to allow adding rows
to a data.frame, should we follow it ?
- add test cases
- implement a 'factor' class for categorised data
- make all functions below statistics/ dataframe compatible
Pascal Dupuis
Louvain-la-Neuve, July First, 2010.
dataframe/inst/@dataframe/angle.m 0000600 0001750 0001750 00000001772 11713521330 020242 0 ustar carandraug carandraug function resu = angle(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: angle.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@angle, df, varargin{:});
endfunction
dataframe/inst/@dataframe/cumsum.m 0000600 0001750 0001750 00000001775 11713521330 020470 0 ustar carandraug carandraug function resu = cumsum(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: cumsum.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@cumsum, df, varargin{:});
endfunction
dataframe/inst/@dataframe/log.m 0000600 0001750 0001750 00000001764 11713521330 017736 0 ustar carandraug carandraug function resu = log(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: log.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@log, df, varargin{:});
endfunction
dataframe/inst/@dataframe/erf.m 0000600 0001750 0001750 00000001764 11713521330 017731 0 ustar carandraug carandraug function resu = erf(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: erf.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@erf, df, varargin{:});
endfunction
dataframe/inst/@dataframe/log10.m 0000600 0001750 0001750 00000001772 11713521330 020076 0 ustar carandraug carandraug function resu = log10(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: log10.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@log10, df, varargin{:});
endfunction
dataframe/inst/@dataframe/isvector.m 0000600 0001750 0001750 00000002146 11713521330 021006 0 ustar carandraug carandraug function resu = isvector(df)
%# function resu = isvector(df)
%# returns true if the dataframe can be converted to a vector
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: isvector.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = ismatrix(df) & (length(find(df._cnt > 1)) <= 1);
endfunction
dataframe/inst/@dataframe/rows.m 0000600 0001750 0001750 00000002044 11713521330 020137 0 ustar carandraug carandraug function resu = rows(df)
%# function resu = rows(df)
%# returns the number of rows of a dataframe
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: rows.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df._cnt(1);
endfunction
dataframe/inst/@dataframe/asinh.m 0000600 0001750 0001750 00000001772 11713521330 020256 0 ustar carandraug carandraug function resu = asinh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: asinh.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@asinh, df, varargin{:});
endfunction
dataframe/inst/@dataframe/asin.m 0000600 0001750 0001750 00000001767 11713521330 020112 0 ustar carandraug carandraug function resu = asin(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: asin.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@asin, df, varargin{:});
endfunction
dataframe/inst/@dataframe/vertcat.m 0000600 0001750 0001750 00000002255 11713521330 020621 0 ustar carandraug carandraug function resu = vertcat(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: vertcat.m 9585 2012-02-05 15:32:46Z cdemills $
%#
%# do the conversion now, in order not to loose inputnames
for indi = 1:length(varargin),
varargin{indi} = dataframe(varargin{indi}, 'colnames', inputname(1+indi));,
endfor
resu = cat(1, df, varargin{:});
endfunction
dataframe/inst/@dataframe/mrdivide.m 0000600 0001750 0001750 00000002371 11713521330 020753 0 ustar carandraug carandraug function resu = mrdivide(A, B);
%# function resu = mrdivide(A, B)
%# Implements the '/' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: mrdivide.m 9585 2012-02-05 15:32:46Z cdemills $
%#
try
resu = df_func(@mrdivide, A, B, [false true], [false true]);
catch
disp(lasterr());
error("Operator / problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe/inst/@dataframe/ceil.m 0000600 0001750 0001750 00000001767 11713521330 020074 0 ustar carandraug carandraug function resu = ceil(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: ceil.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@ceil, df, varargin{:});
endfunction
dataframe/inst/@dataframe/isnan.m 0000600 0001750 0001750 00000001772 11713521330 020264 0 ustar carandraug carandraug function resu = isnan(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: isnan.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@isnan, df, varargin{:});
endfunction
dataframe/inst/@dataframe/display.m 0000600 0001750 0001750 00000016526 11713521330 020624 0 ustar carandraug carandraug function resu = display(df)
%# function resu = display(df)
%# Tries to produce a nicely formatted output of a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: display.m 9585 2012-02-05 15:32:46Z cdemills $
%#
%# generate header name
dummy = inputname (1);
if (isempty(dummy))
dummy = "ans";
endif
if (2 == length (df._cnt))
head = sprintf ("%s = dataframe with %d rows and %d columns", \
dummy, df._cnt);
else
head = sprintf ("%s = dataframe with %d rows and %d columns on %d pages", \
dummy, df._cnt);
endif
if (!isempty (df._src))
for indi = (1:size (df._src, 1))
head = strvcat\
(head, [repmat("Src: ", size (df._src{indi, 1}, 1), 1)\
df._src{indi, 1}]);
endfor
endif
if (!isempty (df._cmt))
for indi = (1:size(df._cmt, 1))
head = strvcat\
(head, [repmat("Comment: ", size (df._cmt{indi, 1}, 1), 1)\
df._cmt{indi, 1}]);
endfor
endif
if (all (df._cnt > 0)) %# stop for empty df
dummy=[]; vspace = repmat (' ', df._cnt(1), 1);
indi = 1; %# the real, unfolded index
%# loop over columns where the corresponding _data really exists
for indc = (1:min (df._cnt(2), size (df._data, 2)))
%# emit column names and type
if (1 == length (df._rep{indc}))
dummy{1, 2+indi} = deblank (disp (df._name{2}{indc}));
dummy{2, 2+indi} = deblank (df._type{indc});
else
%# append a dot and the third-dimension index to column name
tmp_str = [deblank(disp (df._name{2}{indc})) "."];
tmp_str = arrayfun (@(x) horzcat (tmp_str, num2str(x)), ...
(1:length (df._rep{indc})), 'UniformOutput', false);
dummy{1, 2+indi} = tmp_str{1};
dummy{2, 2+indi} = deblank (df._type{indc});
for indk = (2:length (tmp_str))
dummy{1, 1+indi+indk} = tmp_str{indk};
dummy{2, 1+indi+indk} = dummy{2, 2+indi};
endfor
endif
%# "print" each column
switch df._type{indc}
case {'char'}
indk = 1; while (indk <= size (df._data{indc}, 2))
tmp_str = df._data{indc}(:, indk); %#get the whole column
indj = cellfun ('isprint', tmp_str, 'UniformOutput', false);
indj = ~cellfun ('all', indj);
for indr = (1:length(indj))
if (indj(indr)),
if (isna (tmp_str{indr})),
tmp_str{indr} = "NA";
else
if (~ischar (tmp_str{indr}))
tmp_str{indr} = char (tmp_str{indr});
endif
tmp_str{indr} = undo_string_escapes (tmp_str{indr});
endif
endif
endfor
%# keep the whole thing, and add a vertical space
dummy{3, 2+indi} = disp (char (tmp_str));
dummy{3, 2+indi} = horzcat...
(vspace, char (regexp (dummy{3, 2+indi}, '.*', ...
'match', 'dotexceptnewline')));
indi = indi + 1; indk = indk + 1;
endwhile
otherwise
%# keep only one horizontal space per line
unfolded = df._data{indc}(:, df._rep{indc});
indk = 1; while (indk <= size (unfolded, 2))
dummy{3, 2+indi} = disp (unfolded(:, indk));
tmp_str = char (regexp (dummy{3, 2+indi}, \
'[-+]?[0-9]*\.?[0-9]+([eE][-+]?[0-9]+)?(\s??[-+]\s??[0-9]*\.?[0-9]+([eE][-+]?[0-9]+)?i)?', \
'match', 'dotexceptnewline'));
tmp_str = horzcat...
(vspace, char (regexp (dummy{3, 2+indi}, '\S.*', ...
'match', 'dotexceptnewline')));
dummy{3, 2+indi} = tmp_str;
indi = indi + 1; indk = indk + 1;
endwhile
endswitch
endfor
%# put everything together
vspace = [' '; ' '; vspace];
%# second line content
resu = [];
if (!isempty (df._ridx))
for (ind1 = 1:size (df._ridx, 2))
if ((1 == size(df._ridx, 3)) && \
(any (!isna (df._ridx(1:df._cnt(1), ind1)))))
dummy{2, 1} = [sprintf("_%d", ind1) ; "Nr"];
dummy{3, 1} = disp (df._ridx(1:df._cnt(1), ind1));
indi = regexp (dummy{3, 1}, '\b.*\b', 'match', 'dotexceptnewline');
if (isempty (resu))
resu = strjust (char (dummy{2, 1}, indi), 'right');
else
resu = horzcat(resu, vspace, strjust (char (dummy{2, 1}, indi), \
'right'), vspace);
endif
else
for ind2 = (1:size (df._ridx, 3))
if (any (!isna (df._ridx(1:df._cnt(1), ind1, ind2)))),
dummy{2, 1} = [sprintf("_%d.%d", ind1, ind2) ; "Nr"];
dummy{3, 1} = disp (df._ridx(1:df._cnt(1), ind1, ind2));
indi = regexp (dummy{3, 1}, '\b.*\b', 'match', 'dotexceptnewline');
if (isempty (resu))
resu = strjust (char (dummy{2, 1}, indi), 'right');
else
resu = horzcat (resu, vspace, strjust (char(dummy{2, 1}, indi), \
'right'), vspace);
endif
endif
endfor
endif
endfor
endif
%# emit row names
if (isempty (df._name{1})),
dummy{2, 2} = []; dummy{3, 2} = [];
else
dummy{2, 2} = [" ";" "];
dummy{3, 2} = df._name{1};
endif
%# insert a vertical space
if (!isempty(dummy{3, 2}))
indi = ~cellfun ('isempty', dummy{3, 2});
if (any (indi))
try
resu = horzcat (resu, vspace, strjust (char(dummy{2, 2}, dummy{3, 2}),\
'right'));
catch
disp ('line 172 '); keyboard
end_try_catch
endif
endif
%# emit each colum
for indi = (1:size (dummy, 2) - 2)
%# was max(df._cnt(2:end)),
try
%# avoid this column touching the previous one
if (any (cellfun ('size', dummy(1:2, 2+indi), 2) >= \
size (dummy{3, 2+indi}, 2)))
resu = horzcat (resu, vspace);
endif
resu = horzcat (resu, strjust (char (dummy{:, 2+indi}), 'right'));
catch
tmp_str = sprintf ("Emitting %d lines, expecting %d", ...
size (dummy{3, 2+indi}, 1), df._cnt(1));
keyboard
error (tmp_str);
end_try_catch
endfor
else
resu = '';
endif
resu = char (head, resu); disp (resu)
endfunction
dataframe/inst/@dataframe/signum.m 0000600 0001750 0001750 00000001775 11713521330 020461 0 ustar carandraug carandraug function resu = signum(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: signum.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@signum, df, varargin{:});
endfunction
dataframe/inst/@dataframe/cosh.m 0000600 0001750 0001750 00000001767 11713521330 020114 0 ustar carandraug carandraug function resu = cosh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: cosh.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@cosh, df, varargin{:});
endfunction
dataframe/inst/@dataframe/subsindex.m 0000600 0001750 0001750 00000002604 11713521330 021153 0 ustar carandraug carandraug function resu = subsindex(df, base)
%# function resu = subsindex(df)
%# This function convert a dataframe to an index. Do not expect a
%# meaningfull result when mixing numeric and logical columns.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: subsindex.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if nargin < 2,
base = 1.0;
else
base = base - 1.0;
endif
%# extract all values at once
dummy = df_whole(df);
if isa(dummy, 'logical'),
resu = sort(find(dummy)-base);
%# resu = dummy - base;
else
resu = dummy - base;
endif
endfunction
dataframe/inst/@dataframe/dataframe.m 0000600 0001750 0001750 00000037713 11713521330 021104 0 ustar carandraug carandraug function df = dataframe(x = [], varargin)
%# -*- texinfo -*-
%# @deftypefn {Function File} @var{df} = dataframe(@var{x = []}, ...)
%# This is the default constructor for a dataframe object, which is
%# similar to R 'data.frame'. It's a way to group tabular data, then
%# accessing them either as matrix or by column name.
%# Input argument x may be: @itemize
%# @item a dataframe => use @var{varargin} to pad it with suplemental
%# columns
%# @item a matrix => create column names from input name; each column
%# is used as an entry
%# @item a cell matrix => try to infer column names from the first row,
%# and row indexes and names from the two first columns;
%# @item a file name => import data into a dataframe;
%# @item a matrix of char => initialise colnames from them.
%# @item a two-element cell: use the first as column as column to
%# append to, and the second as initialiser for the column(s)
%# @end itemize
%# If called with an empty value, or with the default argument, it
%# returns an empty dataframe which can be further populated by
%# assignement, cat, ... If called without any argument, it should
%# return a dataframe from the whole workspace.
%# @*Variable input arguments are first parsed as pairs (options, values).
%# Recognised options are: @itemize
%# @item rownames : take the values as initialiser for row names
%# @item colnames : take the values as initialiser for column names
%# @item seeked : a (kept) field value which triggers start of processing.
%# @item trigger : a (unkept) field value which triggers start of processing.
%# Each preceeding line is silently skipped. Default: none
%# @item unquot: a logical switch telling wheter or not strings should
%# be unquoted before storage, default = true;
%# @item sep: the elements separator, default '\t,'
%# @end itemize
%# The remaining data are concatenated (right-appended) to the existing ones.
%# @end deftypefn
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: dataframe.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if (0 == nargin)
disp ('FIXME -- should create a dataframe from the whole workspace')
df = dataframe ([]);
return
endif
if (isempty (x) && 1 == nargin)
%# default constructor: initialise the fields in the right order
df._cnt = [0 0];
df._name = {cell(0, 1), cell(1, 0)}; %# rows - cols
df._over = cell (1, 2);
df._ridx = [];
df._data = cell (0, 0);
df._rep = cell (0, 0); %# a repetition index
df._type = cell (0, 0); %# the type of each column
df._src = cell (0, 0);
df._cmt = cell (0, 0); %# to put comments
df = class (df, 'dataframe');
return
endif
if (isa (x, 'dataframe'))
df = x;
elseif (isa (x, 'struct'))
df = class (x, 'dataframe'); return
else
df = dataframe ([]); %# get the right fields
endif
%# default values
seeked = []; trigger =[]; unquot = true; sep = "\t,"; cmt_lines = [];
locales = "C";
if (length(varargin) > 0)
indi = 1;
%# loop over possible arguments
while (indi <= size (varargin, 2))
if (isa (varargin{indi}, 'char'))
switch(varargin{indi})
case 'rownames'
switch class (varargin{indi+1})
case {'cell'}
df._name{1} = varargin{indi+1};
case {'char'}
df._name{1} = cellstr (varargin{indi+1});
otherwise
df._name{1} = cellstr (num2str (varargin{indi+1}));
endswitch
df._name{1} = genvarname (df._name{1});
df._over{1}(1, 1:length (df._name{1})) = false;
df._cnt(1) = size (df._name{1}, 1);
df._ridx = (1:df._cnt(1))';
varargin(indi:indi+1) = [];
case 'colnames'
switch class(varargin{indi+1})
case {'cell'}
df._name{2} = varargin{indi+1};
case {'char'}
df._name{2} = cellstr (varargin{indi+1});
otherwise
df._name{2} = cellstr (num2str (varargin{indi+1}));
endswitch
%# detect assignment - functions calls - ranges
dummy = cellfun ('size', cellfun (@(x) strsplit (x, ":=("), df._name{2}, \
"UniformOutput", false), 2);
if (any(dummy > 1))
warning('dataframe colnames taken literally and not interpreted');
endif
df._name{2} = genvarname (df._name{2});
df._over{2}(1, 1:length (df._name{2})) = false;
varargin(indi:indi+1) = [];
case 'seeked',
seeked = varargin{indi + 1};
varargin(indi:indi+1) = [];
case 'trigger',
trigger = varargin{indi + 1};
varargin(indi:indi+1) = [];
case 'unquot',
unquot = varargin{indi + 1};
varargin(indi:indi+1) = [];
case 'sep',
sep = varargin{indi + 1};
varargin(indi:indi+1) = [];
case 'locales'
locales = varargin{indi + 1};
varargin(indi:indi+1) = [];
otherwise %# FIXME: just skip it for now
disp (sprintf ("Ignoring unkown argument %s", varargin{indi}));
indi = indi + 1;
endswitch
else
indi = indi + 1; %# skip it
endif
endwhile
endif
if (!isempty (seeked) && !isempty (trigger))
error ('seeked and trigger are mutuallly incompatible arguments');
endif
indi = 0;
while (indi <= size(varargin, 2))
indi = indi + 1;
if (~isa (x, 'dataframe'))
if (isa(x, 'char') && size(x, 1) < 2)
%# read the data frame from a file
try
dummy = tilde_expand (x);
x = load (dummy);
df._src{end+1, 1} = dummy;
catch
%# try our own method
UTF8_BOM = char([0xEF 0xBB 0xBF]);
unwind_protect
dummy = tilde_expand (x);
fid = fopen (dummy);
if (fid != -1)
df._src{end+1, 1} = dummy;
dummy = fgetl (fid);
if (!strcmp (dummy, UTF8_BOM))
frewind (fid);
endif
%# slurp everything and convert doubles to char, avoiding
%# problems with char > 127
in = char (fread (fid).');
else
in = [];
endif
unwind_protect_cleanup
if (fid != -1) fclose (fid); endif
end_unwind_protect
if (!isempty (in))
%# explicit list taken from 'man pcrepattern' -- we enclose all
%# vertical separators in case the underlying regexp engine
%# doesn't have them all.
eol = '(\r\n|\n|\v|\f|\r|\x85)';
%# cut into lines -- include the EOL to have a one-to-one
%# matching between line numbers. Use a non-greedy match.
lines = regexp (in, ['.*?' eol], 'match');
dummy = cellfun (@(x) regexp (x, eol), lines);
%# remove the EOL character(s)
lines(1 == dummy) = {""};
%# use a positive lookahead -- eol is not part of the match
lines(dummy > 1) = cellfun (@(x) regexp (x, ['.*?(?=' eol ')'], \
'match'), lines(dummy > 1));
%# a field either starts at a word boundary, either by + - . for
%# a numeric data, either by ' for a string.
%# content = cellfun(@(x) regexp(x, '(\b|[-+\.''])[^,]*(''|\b)', 'match'),\
%# lines, 'UniformOutput', false); %# extract fields
content = cellfun (@(x) strsplit (x, sep), lines, \
'UniformOutput', false); %# extract fields
indl = 1; indj = 1; %# disp('line 151 '); keyboard
if (~isempty (seeked))
while (indl <= length (lines))
dummy = content{indl};
if (all (cellfun ('size', dummy, 2) == 0))
indl = indl + 1;
continue;
endif
dummy = content{indl};
if (strcmp (dummy{1}, seeked))
break;
endif
indl = indl + 1;
endwhile
elseif (~isempty (trigger))
while (indl <= length (lines))
dummy = content{indl};
indl = indl + 1;
if (all (cellfun ('size', dummy, 2) == 0))
continue;
endif
if (strcmp (dummy{1}, trigger))
break;
endif
endwhile
endif
x = cell (1+length (lines)-indl, size(dummy, 2));
empty_lines = []; cmt_lines = [];
while (indl <= length(lines))
dummy = content{indl};
if (all (cellfun ('size', dummy, 2) == 0))
empty_lines = [empty_lines indj];
indl = indl + 1; indj = indj + 1;
continue;
endif
%# does it looks like a comment line ?
if (regexp (dummy{1}, ['^\s*' char(35)]))
empty_lines = [empty_lines indj];
cmt_lines = strvcat (cmt_lines, horzcat (dummy{:}));
indl = indl + 1; indj = indj + 1;
continue;
endif
%# try to convert to float
the_line = cellfun (@(x) sscanf (x, "%f", locales), dummy, \
'UniformOutput', false);
for indk = (1:size (the_line, 2))
if (isempty (the_line{indk}) || any (size (the_line{indk}) > 1))
%#if indi > 1 && indk > 1, disp('line 117 '); keyboard; %#endif
if (unquot)
try
%# remove quotes and leading space(s)
x(indj, indk) = regexp (dummy{indk}, '[^'' ].*[^'']', 'match'){1};
catch
%# if the previous test fails, try a simpler one
in = regexp (dummy{indk}, '[^'' ]+', 'match');
if (!isempty(in))
x(indj, indk) = in{1};
%# else
%# x(indj, indk) = [];
endif
end_try_catch
else
%# no conversion possible, store and remove leading space(s)
x(indj, indk) = regexp (dummy{indk}, '[^ ].*', 'match');
endif
else
if (!isempty (regexp (dummy{indk}, '[/:]')))
%# try to convert to a date
[timeval, nfields] = strptime( dummy{indk},
[char(37) 'd/' char(37) 'm/' char(37) 'Y ' char(37) 'T']);
if (nfields > 0) %# at least a few fields are OK
timestr = strftime ([char(37) 'H:' char(37) 'M:' char(37) 'S'],
timeval);
%# try to extract the usec field, if any
idx = regexp (dummy{indk}, timestr, 'end');
if (!isempty (idx))
idx = idx + 1;
if (ispunct (dummy{indk}(idx)))
idx = idx + 1;
endif
timeval.usec = str2num(dummy{indk}(idx:end));
endif
x(indj, indk) = str2num (strftime ([char(37) 's'], timeval)) + ...
timeval.usec * 1e-6;
endif
else
x(indj, indk) = the_line{indk};
endif
endif
endfor
indl = indl + 1; indj = indj + 1;
endwhile
if (!isempty(empty_lines))
x(empty_lines, :) = [];
endif
%# detect empty columns
empty_lines = find (0 == sum (cellfun ('size', x, 2)));
if (!isempty(empty_lines))
x(:, empty_lines) = [];
endif
clear UTF8_BOM fid in lines indl the_line content empty_lines
clear timeval timestr nfields idx
endif
end_try_catch
endif
%# fallback, avoiding a recursive call
idx.type = '()';
if (!isa (x, 'char'))
indj = df._cnt(2)+(1:size (x, 2));
else
%# at this point, reading some filename failed
error("dataframe: can't open '%s' for reading data", x);
endif;
if (iscell(x))
if (2 == length (x))
%# use the intermediate value as destination column
[indc, ncol] = df_name2idx (df._name{2}, x{1}, df._cnt(2), "column");
if (ncol != 1)
error (["With two-elements cell, the first should resolve " ...
"to a single column"]);
endif
try
dummy = cellfun ('class', x{2}(2, :), 'UniformOutput', false);
catch
dummy = cellfun ('class', x{2}(1, :), 'UniformOutput', false);
end_try_catch
df = df_pad (df, 2, [length(dummy) indc], dummy);
x = x{2};
indj = indc + (1:size(x, 2)); %# redefine target range
else
if (isa (x{1}, 'cell'))
x = x{1}; %# remove one cell level
endif
endif
if (length (df._name{2}) < indj(1) || isempty (df._name{2}(indj)))
[df._name{2}(indj, 1), df._over{2}(1, indj)] ...
= df_colnames (inputname(indi), indj);
df._name{2} = genvarname (df._name{2});
endif
%# allow overwriting of column names
df._over{2}(1, indj) = true;
else
if (!isempty(indj))
if (1 == length (df._name{2}) && length (df._name{2}) < \
length (indj))
[df._name{2}(indj, 1), df._over{2}(1, indj)] ...
= df_colnames (char(df._name{2}), indj);
elseif (length (df._name{2}) < indj(1) || isempty (df._name{2}(indj)))
[df._name{2}(indj, 1), df._over{2}(1, indj)] ...
= df_colnames (inputname(indi), indj);
endif
df._name{2} = genvarname (df._name{2});
endif
endif
if (!isempty (indj))
%# the exact row size will be determined latter
idx.subs = {'', indj};
%# use direct assignement
if (ndims (x) > 2), idx.subs{3} = 1:size (x, 3); endif
%# df = subsasgn(df, idx, x); <= call directly lower level
df = df_matassign (df, idx, indj, length(indj), x);
if (!isempty (cmt_lines))
df._cmt = vertcat(df._cmt, cellstr(cmt_lines));
cmt_lines = [];
endif
else
df._cnt(2) = length (df._name{2});
endif
elseif (indi > 1)
error ('Concatenating dataframes: use cat instead');
endif
try
%# loop over next variable argument
x = varargin{1, indi};
catch
%# disp('line 197 ???');
end_try_catch
endwhile
endfunction
function [x, y] = df_colnames(base, num)
%# small auxiliary function to generate column names. This is required
%# here, as only the constructor can use inputname()
if (any ([index(base, "=")]))
%# takes the left part as base
x = strsplit (base, "=");
x = deblank (x{1});
if (isvarname (x))
y = false;
else
x = 'X'; y = true;
endif
else
%# is base most probably a filename ?
x = regexp (base, '''[^''].*[^'']''', 'match');
if (isempty (x))
if (isvarname (base))
x = base; y = false;
else
x = 'X'; y = true; %# this is a default value, may be changed
endif
else
x = x{1}; y = true;
endif
endif
if (numel (num) > 1)
x = repmat (x, numel (num), 1);
x = cstrcat (x, strjust (num2str (num(:)), 'left'));
y = repmat (y, 1, numel (num));
endif
x = cellstr (x);
endfunction
dataframe/inst/@dataframe/minus.m 0000600 0001750 0001750 00000002315 11713521330 020301 0 ustar carandraug carandraug function resu = minus(A, B);
%# function resu = minus(A, B)
%# Implements the '-' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: minus.m 9585 2012-02-05 15:32:46Z cdemills $
%#
try
resu = df_func(@minus, A, B);
catch
disp(lasterr());
error("Operator - problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe/inst/@dataframe/max.m 0000600 0001750 0001750 00000001767 11713521330 017745 0 ustar carandraug carandraug function resu = max(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: max.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper2(@max, df, varargin{:});
endfunction
dataframe/inst/@dataframe/columns.m 0000600 0001750 0001750 00000002060 11713521330 020623 0 ustar carandraug carandraug function resu = columns(df)
%# function resu = columns(df)
%# returns the number of columns of a dataframe
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: columns.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df._cnt(end);
endfunction
dataframe/inst/@dataframe/sqrt.m 0000600 0001750 0001750 00000001767 11713521330 020151 0 ustar carandraug carandraug function resu = sqrt(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: sqrt.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@sqrt, df, varargin{:});
endfunction
dataframe/inst/@dataframe/erfinv.m 0000600 0001750 0001750 00000001775 11713521330 020450 0 ustar carandraug carandraug function resu = erfinv(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: erfinv.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@erfinv, df, varargin{:});
endfunction
dataframe/inst/@dataframe/arg.m 0000600 0001750 0001750 00000001764 11713521330 017726 0 ustar carandraug carandraug function resu = arg(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: arg.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@arg, df, varargin{:});
endfunction
dataframe/inst/@dataframe/eq.m 0000600 0001750 0001750 00000002113 11713521330 017547 0 ustar carandraug carandraug function resu = eq(A, B);
%# function resu = eq(A, B)
%# Implements the '==' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: eq.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_func(@eq, A, B);
endfunction
dataframe/inst/@dataframe/ne.m 0000600 0001750 0001750 00000002112 11713521330 017543 0 ustar carandraug carandraug function resu = ne(A, B);
%# function resu = ne(A, B)
%# Implements the '!=' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: ne.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_func(@ne, A, B);
endfunction
dataframe/inst/@dataframe/sinh.m 0000600 0001750 0001750 00000001767 11713521330 020121 0 ustar carandraug carandraug function resu = sinh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: sinh.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@sinh, df, varargin{:});
endfunction
dataframe/inst/@dataframe/mtimes.m 0000600 0001750 0001750 00000002346 11713521330 020450 0 ustar carandraug carandraug function resu = mtimes(A, B);
%# function resu = mtimes(A, B)
%# Implements the '*' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: mtimes.m 9585 2012-02-05 15:32:46Z cdemills $
%#
try
resu = df_func(@mtimes, A, B, false, [true false]);
catch
disp(lasterr());
error("Operator * problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe/inst/@dataframe/permute.m 0000600 0001750 0001750 00000006411 11713521330 020630 0 ustar carandraug carandraug function resu = permute(df, perm)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: permute.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = dataframe([]);
if (length(df._cnt) >= length(perm)),
resu._cnt = df._cnt(perm);
else
resu._cnt = [df._cnt 1](perm);
endif
if (ndims(df._ridx) < 3),
resu._ridx = permute(df._ridx, [min(perm(1), 2) min(perm(2:end))]);
else
resu._ridx = permute(df._ridx, perm);
endif
if (size(resu._ridx, 1) < resu._cnt(1)),
%# adjust index size, if required
resu._ridx(end+1:resu._cnt(1), :, :) = NA;
endif
if (2 == perm(1)),
resu._name{1} = df._name{2};
resu._over{1} = df._over{2};
indc = length(resu._name{1});
indi = resu._cnt(1) - indc;
if (indi > 0),
%# generate a name for the new row(s)
dummy = cstrcat(repmat('_', indi, 1), ...
strjust(num2str(indc + (1:indi).'), 'left'));
resu._name{1}(indc + (1:indi)) = cellstr(dummy);
resu._over{1}(1, indc + (1:indi)) = true;
endif
else
resu._name{1} = df._name{1};
resu._over{1} = df._over{1};
endif
if (2 == perm(2)),
resu._name{2} = df._name{2};
resu._over{2} = df._over{2};
else
resu._name{2} = df._name{1};
resu._over{2} = df._over{1};
endif
if (isempty(resu._name{2})),
indc = 0;
else
indc = length(resu._name{2});
endif
indi = resu._cnt(2) - indc;
if (indi > 0),
%# generate a name for the new column(s)
dummy = cstrcat(repmat('_', indi, 1), ...
strjust(num2str(indc + (1:indi).'), 'left'));
resu._name{2}(indc + (1:indi)) = cellstr(dummy);
resu._over{2}(1, indc + (1:indi)) = true;
endif
if (2 != perm(2)),
%# recompute the new type
dummy = zeros(0, class(sum(cellfun(@(x) zeros(1, class(x(1))),\
df._data))));
resu._type(1:resu._cnt(2)) = class(dummy);
dummy = permute(df_whole(df), perm);
for indi = 1:resu._cnt(2),
resu._data{indi} = squeeze(dummy(:, indi, :));
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
else %# 2 == perm(2)
if (1 == perm(1)), %# blank operation
resu._type = df._type;
resu._data = df._data;
resu._rep = df._rep;
else
for indi = 1:resu._cnt(2),
unfolded = df._data{indi}(:, df._rep{indi});
resu._data{indi} = permute(unfolded, [2 1]);
resu._rep{indi} = 1:size(resu._data{indi}, 2);
resu._type{indi} = df._type{indi};
endfor
endif
endif
resu._src = df._src;
resu._cmt = df._cmt;
endfunction
dataframe/inst/@dataframe/xor.m 0000600 0001750 0001750 00000002116 11713521330 017755 0 ustar carandraug carandraug function resu = xor(A, B);
%# function resu = xor(A, B)
%# Implements the '??' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: xor.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_func(@xor, A, B);
endfunction
dataframe/inst/@dataframe/log2.m 0000600 0001750 0001750 00000001767 11713521330 020023 0 ustar carandraug carandraug function resu = log2(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: log2.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@log2, df, varargin{:});
endfunction
dataframe/inst/@dataframe/fold.m 0000600 0001750 0001750 00000005540 11713521330 020075 0 ustar carandraug carandraug function resu = fold(df, dim, indr, indc)
%# function resu = subasgn(df, S, RHS)
%# The purpose is to fold a dataframe. Part from (1:indr-1) doesn't
%# move, then content starting at indr is moved into the second,
%# third, ... sheet. To be moved, there must be equality of rownames,
%# if any, and of fields contained in indc.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: fold.m 9585 2012-02-05 15:32:46Z cdemills $
%#
switch dim
case 1
[indr, nrow] = df_name2idx(df._name{1}, indr, df._cnt(1), 'row');
[indc, ncol] = df_name2idx(df._name{2}, indc, df._cnt(2), 'column');
if (indr(1) > 1),
slice_size = indr(1) - 1;
%# we can't use directly resu = df(1:slice_size, :, :)
S.type = '()';
S.subs = { 1:slice_size, ':', ':', 'dataframe'};
resu = subsref(df, S);
%# how many columns for each slice
targets = cellfun(@length, df._rep);
%# a test function to determine if the location is free
for indj = 1:df._cnt(2),
if (any(indj == indc)),
continue;
endif
switch df._type{indj}
case { 'char' }
testfunc{indj} = @(x, indr, indc) ...
!isna(x{indr, indc});
otherwise
testfunc{indj} = @(x, indr, indc) ...
!isna(x(indr, indc));
endswitch
endfor
for indi = indr,
%# where does this line go ?
where = find(df._data{indc}(1:slice_size, 1) ...
== df._data{indc}(indi, 1));
if (!isempty(where)),
%# transfering one line -- loop over columns
for indj = 1:df._cnt(2),
if any(indj == indc),
continue;
endif
if (testfunc{indj}(resu._data{indj}, where, targets(indj))),
%# add one more sheet
resu = df_pad(resu, 3, 1, indj);
targets(indj) = targets(indj) + 1;
endif
%# transfer field
stop
resu._data{indj}(where, targets(indj)) = ...
df._data{indj}(indi, 1);
endfor
%# update row index
resu._ridx(where, max(targets)) = df._ridx(indi);
else
disp('line 65: FIXME'); keyboard;
endif
endfor
else
disp('line 70: FIXME '); keyboard
endif
endswitch
dataframe/inst/@dataframe/ipermute.m 0000600 0001750 0001750 00000002006 11713521330 020775 0 ustar carandraug carandraug function resu = ipermute(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: ipermute.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper2(@ipermute, df, varargin{:});
endfunction
dataframe/inst/@dataframe/summary.m 0000600 0001750 0001750 00000005526 11713521330 020652 0 ustar carandraug carandraug function resu = summary(df)
%# function resu = summary(df)
%# This function prints a nice summary of a dataframe, on a
%# colum-by-column basis. For continuous varaibles, returns basic
%# statistics; for discrete one (char, factors, ...), returns the
%# occurence count for each element.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: summary.m 9585 2012-02-05 15:32:46Z cdemills $
%#
dummy = df._type; resu = [];
for indi = 1:length(dummy),
switch dummy{indi}
case {'char' 'factor'}
[sval, sidxi, sidxj] = unique(df._data{:, indi});
%# compute their occurences
sidxj = hist(sidxj, min(sidxj):max(sidxj));
%# generate a column with unique values
resuR = strjust(char(regexp(disp(sval), '\S.*', 'match', ...
'dotexceptnewline')), 'right');
resuR = horzcat(resuR, repmat(':', size(resuR, 1), 1),
strjust(char(regexp(disp(sidxj.'), '\b.*', 'match', ...
'dotexceptnewline')), ...
'right'));
%# now put the name above all
resuR = strjust([deblank(df._name{1, 2}(indi, :)); resuR], 'right');
resuR = horzcat(resuR, repmat(' ', size(resuR, 1), 1));
resu = horzcat_pad(resu, resuR);
otherwise
s = statistics(df._data{:, indi});
s = s([1:3 6 4:5]);
%# generate a column with name and fields name
resuR = strjust([deblank(df._name{1, 2}{indi, :});
"Min. :"; "1st Qu.:";
"Median :"; "Mean :";
"3rd Qu.:"; "Max. :"], 'right');
%# generate a column with a blank line and the values
resuR = horzcat(resuR, repmat(' ', size(resuR, 1), 1),
strjust(char(' ', regexp(disp(s), '\S.*', 'match', ...
'dotexceptnewline')), 'right'),...
repmat(' ', size(resuR, 1), 1));
resu = horzcat_pad(resu, resuR);
endswitch
endfor
endfunction
function resu = horzcat_pad(A, B)
%# small auxiliary function to cat horizontally tables of different height
dx = size(A, 1) - size(B, 1);
if dx < 0,
%# pad A
A = strvcat(A, repmat(' ', -dx, size(A, 2)));
elseif dx > 0
B = strvcat(B, repmat(' ', dx, size(B, 2)));
endif
resu = horzcat(A, B);
endfunction
dataframe/inst/@dataframe/le.m 0000600 0001750 0001750 00000002112 11713521330 017541 0 ustar carandraug carandraug function resu = le(A, B);
%# function resu = le(A, B)
%# Implements the '<=' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: le.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_func(@le, A, B);
endfunction
dataframe/inst/@dataframe/sort.m 0000600 0001750 0001750 00000010576 11713521330 020145 0 ustar carandraug carandraug function [resu, idx] = sort(df, varargin)
%# -*- texinfo -*-
%# @deftypefn {Loadable Function} {[@var{s}, @var{i}] =} sort (@var{x})
%# @deftypefnx {Loadable Function} {[@var{s}, @var{i}] =} sort (@var{x}, @var{dim})
%# @deftypefnx {Loadable Function} {[@var{s}, @var{i}] =} sort (@var{x}, @var{mode})
%# @deftypefnx {Loadable Function} {[@var{s}, @var{i}] =} sort (@var{x}, @var{dim}, @var{mode})
%# Return a copy of @var{x} with the elements arranged in increasing
%# order. For matrices, @code{sort} orders the elements in each column.
%#
%# For example:
%#
%# @example
%# @group
%# sort ([1, 2; 2, 3; 3, 1])
%# @result{} 1 1
%# 2 2
%# 3 3
%#
%# @end group
%# @end example
%#
%# The @code{sort} function may also be used to produce a matrix
%# containing the original row indices of the elements in the sorted
%# matrix. For example:
%#
%# @example
%# @group
%# [s, i] = sort ([1, 2; 2, 3; 3, 1])
%# @result{} s = 1 1
%# 2 2
%# 3 3
%# @result{} i = 1 3
%# 2 1
%# 3 2
%# @end group
%# @end example
%#
%# If the optional argument @var{dim} is given, then the matrix is sorted
%# along the dimension defined by @var{dim}. The optional argument @code{mode}
%# defines the order in which the values will be sorted. Valid values of
%# @code{mode} are `ascend' or `descend'.
%#
%# For equal elements, the indices are such that the equal elements are listed
%# in the order that appeared in the original list.
%#
%# The @code{sort} function may also be used to sort strings and cell arrays
%# of strings, in which case the dictionary order of the strings is used.
%#
%# The algorithm used in @code{sort} is optimized for the sorting of partially
%# ordered lists.
%# @end deftypefn
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: sort.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if !isa(df, 'dataframe'),
resu = []; return;
endif
dim = []; mode = [];
vout= varargin;
indi = 1; while indi <= length(varargin)
if isnumeric(varargin{indi}),
if !isempty(dim),
print_usage('@dataframe/sort');
resu = [];
return
else
dim = varargin{indi};
if 3 == dim, vout(indi) = 2; endif
endif
else
if !isempty(mode),
print_usage('@dataframe/sort');
resu = [];
return
else
sort = varargin{indi};
endif
endif
indi = indi + 1;
endwhile;
if isempty(dim), dim = 1; endif;
%# pre-assignation
resu = struct(df);
switch(dim)
case {1},
for indi = 1:resu._cnt(2),
[resu._data{indi}, idx(:, indi, :)] = sort\
(resu._data{indi}(:, resu._rep{indi}), varargin{:});
resu._data{indi} = squeeze(resu._data{indi});
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
if (all([1 == size(idx, 2) 1 == size(idx, 3)])),
if (size(resu._ridx, 1) == resu._cnt(1)),
resu._ridx = resu._ridx(idx, :);
endif
if (!isempty(resu._name{1, 1})),
resu._name{1, 1} = resu._name{1, 1}(idx);
resu._over{1, 1} = resu._over{1, 1}(idx);
endif
else
%# data where mixed
resu._ridx = idx;
resu._name{1, 1} = []; resu._over{1, 1} = [];
endif
case {2},
error('Operation not implemented');
case {3},
for indi = 1:resu._cnt(2),
[resu._data{1, indi}, idx(:, indi)] = sort(resu._data{1, indi}, vout(:));
endfor
otherwise
error("Invalid dimension %d", dim);
endswitch
dummy = dbstack();
if (any(strmatch('quantile', {dummy.name}))),
resu = df_whole(resu);
else
resu = dataframe(resu);
endif
endfunction
dataframe/inst/@dataframe/erfc.m 0000600 0001750 0001750 00000001767 11713521330 020077 0 ustar carandraug carandraug function resu = erfc(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: erfc.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@erfc, df, varargin{:});
endfunction
dataframe/inst/@dataframe/bsxfun.m 0000600 0001750 0001750 00000003033 11713521330 020451 0 ustar carandraug carandraug function resu = bsxfun(func, A, B)
%# function resu = bsxfun(func, A, B)
%# Implements a wrapper around internal bsxfun
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: bsxfun.m 9585 2012-02-05 15:32:46Z cdemills $
%#
try
[A, B, resu] = df_basecomp(A, B, true, @bsxfun);
for indi = 1:max(A._cnt(2), B._cnt(2)),
indA = min(indi, A._cnt(2));
indB = min(indi, B._cnt(2));
Au = A._data{indA}(:, A._rep{indA});
Bu = B._data{indB}(:, B._rep{indB});
resu._data{indi} = bsxfun(func, Au, Bu);
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
resu = df_thirddim(resu);
catch
disp(lasterr());
error('bsxfun: non-compatible dimensions')
end_try_catch
endfunction
dataframe/inst/@dataframe/plus.m 0000600 0001750 0001750 00000002311 11713521330 020125 0 ustar carandraug carandraug function resu = plus(A, B);
%# function resu = plus(A, B)
%# Implements the '+' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: plus.m 9585 2012-02-05 15:32:46Z cdemills $
%#
try
resu = df_func(@plus, A, B);
catch
disp(lasterr());
error("Operator + problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe/inst/@dataframe/isnumeric.m 0000600 0001750 0001750 00000002565 11713521330 021153 0 ustar carandraug carandraug function resu = ismatrix(df)
%# function resu = isnumeric(df)
%# returns true if the dataframe contains only numeric columns
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: isnumeric.m 9585 2012-02-05 15:32:46Z cdemills $
%#
df_is_num = isnumeric(df._data{1});
df_is_char = ischar(df._data{1});
for indi = df._cnt(2):-1:2,
df_is_num = df_is_num & isnumeric(df._data{indi});
df_is_char = df_is_char & ischar(df._data{indi});
endfor
resu = isnumeric(zeros(0, class(sum(cellfun(@(x) zeros(1, class(x(1))),\
df._data)))));
endfunction
dataframe/inst/@dataframe/ismatrix.m 0000600 0001750 0001750 00000002456 11713521330 021014 0 ustar carandraug carandraug function resu = ismatrix(df)
%# function resu = ismatrix(df)
%# returns true if the dataframe can be converted to a matrix
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: ismatrix.m 9585 2012-02-05 15:32:46Z cdemills $
%#
df_is_num = isnumeric(df._data{1});
df_is_char = ischar(df._data{1});
for indi = df._cnt(2):-1:2,
df_is_num = df_is_num & isnumeric(df._data{indi});
df_is_char = df_is_char & ischar(df._data{indi});
endfor
resu = df_is_num | df_is_char;
endfunction
dataframe/inst/@dataframe/round.m 0000600 0001750 0001750 00000001772 11713521330 020303 0 ustar carandraug carandraug function resu = round(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: round.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@round, df, varargin{:});
endfunction
dataframe/inst/@dataframe/expm1.m 0000600 0001750 0001750 00000001772 11713521330 020206 0 ustar carandraug carandraug function resu = expm1(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: expm1.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@expm1, df, varargin{:});
endfunction
dataframe/inst/@dataframe/isinf.m 0000600 0001750 0001750 00000001772 11713521330 020264 0 ustar carandraug carandraug function resu = isinf(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: isinf.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@isinf, df, varargin{:});
endfunction
dataframe/inst/@dataframe/sumsq.m 0000600 0001750 0001750 00000002071 11713521330 020315 0 ustar carandraug carandraug function resu = sumsq(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: sumsq.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if !isa(df, 'dataframe'),
resu = []; return;
endif
resu = df_mapper2(@sumsq, df, varargin{:});
endfunction
dataframe/inst/@dataframe/floor.m 0000600 0001750 0001750 00000001772 11713521330 020275 0 ustar carandraug carandraug function resu = floor(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: floor.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@floor, df, varargin{:});
endfunction
dataframe/inst/@dataframe/kron.m 0000600 0001750 0001750 00000002114 11713521330 020114 0 ustar carandraug carandraug function resu = kron(A, B)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: kron.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if (isa(A, 'dataframe')),
A = df_whole(A);
endif
if (isa(B, 'dataframe')),
B = df_whole(B);
endif
resu = kron(A, B);
endfunction
dataframe/inst/@dataframe/acos.m 0000600 0001750 0001750 00000001767 11713521330 020105 0 ustar carandraug carandraug function resu = acos(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: acos.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@acos, df, varargin{:});
endfunction
dataframe/inst/@dataframe/roundb.m 0000600 0001750 0001750 00000001775 11713521330 020450 0 ustar carandraug carandraug function resu = roundb(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: roundb.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@roundb, df, varargin{:});
endfunction
dataframe/inst/@dataframe/end.m 0000600 0001750 0001750 00000002447 11713521330 017722 0 ustar carandraug carandraug function resu = end(df, k, n)
%# function resu = end(df, k, n)
%# This is the end operator for a dataframe object, returning the
%# maximum number of rows or columns
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: end.m 9585 2012-02-05 15:32:46Z cdemills $
%#
try
if k < 3,
resu = df._cnt(k);
else
resu = max(cellfun(@length, df._rep));
endif
catch
error("incorrect call to end, index greater than number of dimensions");
end_try_catch
endfunction
dataframe/inst/@dataframe/ge.m 0000600 0001750 0001750 00000002112 11713521330 017534 0 ustar carandraug carandraug function resu = ge(A, B);
%# function resu = ge(A, B)
%# Implements the '>=' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: ge.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_func(@ge, A, B);
endfunction
dataframe/inst/@dataframe/gamma.m 0000600 0001750 0001750 00000001772 11713521330 020236 0 ustar carandraug carandraug function resu = gamma(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: gamma.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@gamma, df, varargin{:});
endfunction
dataframe/inst/@dataframe/not.m 0000600 0001750 0001750 00000001764 11713521330 017755 0 ustar carandraug carandraug function resu = not(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: not.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@not, df, varargin{:});
endfunction
dataframe/inst/@dataframe/exp.m 0000600 0001750 0001750 00000001764 11713521330 017751 0 ustar carandraug carandraug function resu = exp(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: exp.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@exp, df, varargin{:});
endfunction
dataframe/inst/@dataframe/subsasgn.m 0000600 0001750 0001750 00000015002 11713521330 020770 0 ustar carandraug carandraug function df = subasgn(df, S, RHS)
%# function df = subasgn(df, S, RHS)
%# This is the assignement operator for a dataframe object, taking
%# care of all the housekeeping of meta-info.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: subsasgn.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if (isnull (df))
error ('dataframe subsasgn: first argument may not be empty');
endif
switch (S(1).type)
case '{}'
error ('Invalid dataframe as cell assignement');
case '.'
%# translate the external to internal name
switch (S(1).subs)
case "rownames"
if (~isnull (RHS) && isempty (df._name{1}))
df._name{1}(1:df._cnt(1), 1) = {''};
df._over{1}(1, 1:df._cnt(1)) = true;
endif
[df._name{1}, df._over{1}] = df_strset \
(df._name{1}, df._over{1}, S(2:end), RHS);
return
case "rowidx"
if (1 == length(S))
df._ridx = RHS;
else
df._ridx = feval (@subsasgn, df._ridx, S(2:end), RHS);
endif
return
case "colnames"
if (isnull(RHS)) error ("Colnames can't be nulled"); endif
[df._name{2}, df._over{2}] = df_strset \
(df._name{2}, df._over{2}, S(2:end), RHS, '_');
df._name{2} = genvarname (df._name{2});
return
case "types"
if (isnull(RHS)) error("Types can't be nulled"); endif
if (1 == length (S))
%# perform explicit cast on each column
df._data = cellfun (@(x) cast (x, RHS), df._data,
"UniformOutput", false);
df._type(1:end) = RHS;
else
if (~strcmp (S(2).type, '()'))
error ("Invalid internal type sub-access, use () instead");
endif
if (length (S) > 2 || length (S(2).subs) > 1)
error("Types can only be changed as a whole");
endif
if (~isnumeric(S(2).subs{1}))
[indj, ncol, S(2).subs{1}] = df_name2idx\
(df._name{2}, S(2).subs{1}, df._cnt(2), 'column');
else
indj = S(2).subs{1}; ncol = length (indj);
endif
df._data(indj) = cellfun (@(x) cast (x, RHS), df._data(indj),
"UniformOutput", false);
df._type(indj) = {RHS};
endif
return
case "source"
if (length(S) > 1)
df._src = feval (@subsasgn, df._src, S(2:end), RHS);
else
df._src = RHS;
endif
return
case "comment"
if (length(S) > 1)
df._cmt = feval (@subsasgn, df._cmt, S(2:end), RHS);
else
df._cmt = RHS;
endif
return
otherwise
if (~ischar (S(1).subs))
error ("Congratulations. I didn't see how to produce this error");
endif
%# translate the name to column
[indc, ncol] = df_name2idx (df._name{2}, S(1).subs, \
df._cnt(2), 'column', true);
if (isempty(indc))
%# dynamic allocation
df = df_pad (df, 2, 1, class (RHS));
indc = df._cnt(2); ncol = 1;
df._name{2}(end) = S(1).subs;
df._name{2} = genvarname(df._name{2});
df._over{2}(end) = false;
endif
if (length(S) > 1)
if (1 == length (S(2).subs)), %# add column reference
S(2).subs{2} = indc;
else
S(2).subs(2:3) = {indc, S(2).subs{2}};
endif
else
%# full assignement
S(2).type = '()'; S(2).subs = { '', indc, ':' };
if (ndims (RHS) < 3)
if (isnull (RHS))
S(2).subs = {':', indc};
elseif (1 == size (RHS, 2))
S(2).subs = { '', indc };
elseif (1 == ncol && 1 == size (df._data{indc}, 2))
%# force the padding of the vector to a matrix
S(2).subs = {'', indc, [1:size(RHS, 2)]};
endif
endif
endif
%# do we need to "rotate" RHS ?
if (1 == ncol && ndims (RHS) < 3 \
&& size (RHS, 2) > 1)
RHS = reshape (RHS, [size(RHS, 1), 1, size(RHS, 2)]);
endif
df = df_matassign (df, S(2), indc, ncol, RHS);
endswitch
case '()'
[indr, nrow, S(1).subs{1}] = df_name2idx (df._name{1}, S(1).subs{1}, \
df._cnt(1), 'row');
if (isempty (indr) && df._cnt(1) > 0)
%# this is not an initial assignment
df = df; return;
endif
if (length (S(1).subs) > 1)
if (~isempty (S(1).subs{2}))
[indc, ncol, S(1).subs{2}] = \
df_name2idx (df._name{2}, S(1).subs{2}, df._cnt(2), 'column');
%# if (isempty (indc) && df._cnt(2) > 0)
%# this is not an initial assignment
%# df = df; return;
else
[indc, ncol] = deal ([]);
endif
else
mz = max (cellfun (@length, df._rep));
[fullindr, fullindc, fullinds] = ind2sub ([df._cnt(1:2) mz], indr);
indr = unique( fullindr); indc = unique (fullindc);
inds = unique (fullinds);
ncol = length (indc);
if (any (inds > 1))
S(1).subs{3} = inds;
endif
endif
%# avoid passing ':' as selector on the two first dims
if (~isnull (RHS))
S(1).subs{1} = indr; S(1).subs{2} = indc;
endif
df = df_matassign (df, S, indc, ncol, RHS);
endswitch
%# disp("end of subasgn"); keyboard
endfunction
dataframe/inst/@dataframe/sin.m 0000600 0001750 0001750 00000001764 11713521330 017746 0 ustar carandraug carandraug function resu = sin(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: sin.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@sin, df, varargin{:});
endfunction
dataframe/inst/@dataframe/size.m 0000600 0001750 0001750 00000004330 11713521330 020117 0 ustar carandraug carandraug function varargout = size(df, varargin)
%# function resu = size(df, varargin)
%# This is size operator for a dataframe object.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: size.m 9585 2012-02-05 15:32:46Z cdemills $
%#
switch nargin
case 1
switch nargout
case {0, 1}
varargout{1} = df._cnt;
case {2}
varargout{1} = df._cnt(1);
if (1 == df._cnt(2) && length(df._cnt) > 2),
varargout{2} = df._cnt(3);
else
varargout{2} = df._cnt(2);
endif
case {3}
varargout{1:2} = df._cnt(1:2);
if 2==length(df._cnt),
varargout{3} = 1;
else
varargout{3} = df._cnt(3);
endif
otherwise
error(print_usage());
endswitch
case 2
switch nargout
case {0 1}
varargout{1} = df._cnt;
try
varargout{1} = varargout{1}(varargin{1});
catch
error(print_usage());
end_try_catch
otherwise
error(print_usage());
endswitch
case 3
switch nargout
case {0 1}
if (length(df._cnt) < 3),
varargout{1} = 1;
else
varargout{1} = df._cnt;
endif
try
varargout{1} = varargout{1}(varargin{1});
catch
error(print_usage());
end_try_catch
otherwise
error(print_usage());
endswitch
otherwise
error(print_usage());
endswitch
endfunction
function usage = print_usage()
usage = strcat('Invalid call to size. Correct usage is: ', ' ', ...
'-- Overloaded Function: size (A, N)');
endfunction
dataframe/inst/@dataframe/log1p.m 0000600 0001750 0001750 00000001772 11713521330 020176 0 ustar carandraug carandraug function resu = log1p(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: log1p.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@log1p, df, varargin{:});
endfunction
dataframe/inst/@dataframe/ndims.m 0000644 0001750 0001750 00000000422 11501365041 020265 0 ustar carandraug carandraug function resu = ndims(df)
%# -*- texinfo -*-
%# @deftypefn {Function File} ndims(@var{df})
%# overloaded function implementing ndims for a dataframe
%# @end deftypefn
resu = 2;
nseq = max(cellfun(@length, df._rep));
if nseq > 1, resu = 3; endif
endfunction
dataframe/inst/@dataframe/find.m 0000600 0001750 0001750 00000004014 11713521330 020064 0 ustar carandraug carandraug function varargout = find(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: find.m 9585 2012-02-05 15:32:46Z cdemills $
%#
switch nargout
case {0, 1}
resu = []; mz = max(cellfun(@length, df._rep));
for indc = 1:df._cnt(2),
[indr, inds] = feval(@find, df._data{indc}(:, df._rep{indc}));
%# create a vector the same size as indr
dummy = indr; dummy(:) = indc;
resu = [resu; sub2ind([df._cnt(1:2) mz], indr, dummy, inds)];
endfor
varargout{1} = sort(resu);
case 2
nz = 0; idx_i = []; idx_j = [];
for indc = 1:df._cnt(2),
[dum1, dum2] = feval(@find, df._data{indc}(:, df._rep{indc}));
idx_i = [idx_i; dum1];
idx_j = [idx_j; nz + dum2];
nz = nz + df._cnt(1)*length(df._rep{indc});
endfor
varargout{1} = idx_i; varargout{2} = idx_j;
case 3
nz = 0; idx_i = []; idx_j = []; val = [];
for indc = 1:df._cnt(2),
[dum1, dum2, dum3] = feval(@find, df._data{indc}(:, df._rep{indc}));
idx_i = [idx_i; dum1];
idx_j = [idx_j; nz + dum2];
val = [val; dum3];
nz = nz + df._cnt(1)*length(df._rep{indc});
endfor
varargout{1} = idx_i; varargout{2} = idx_j; varargout{3} = val;
otherwise
print_usage('find');
endswitch
endfunction
dataframe/inst/@dataframe/horzcat.m 0000600 0001750 0001750 00000002161 11713521330 020617 0 ustar carandraug carandraug function resu = horzcat(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: horzcat.m 9585 2012-02-05 15:32:46Z cdemills $
%#
for indi = 1:length(varargin),
varargin{indi} = dataframe(varargin{indi}, 'colnames', inputname(1+indi));,
endfor
resu = cat(2, df, varargin{:});
endfunction
dataframe/inst/@dataframe/tan.m 0000600 0001750 0001750 00000001764 11713521330 017737 0 ustar carandraug carandraug function resu = tan(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: tan.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@tan, df, varargin{:});
endfunction
dataframe/inst/@dataframe/acosh.m 0000600 0001750 0001750 00000001772 11713521330 020251 0 ustar carandraug carandraug function resu = acosh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: acosh.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@acosh, df, varargin{:});
endfunction
dataframe/inst/@dataframe/imag.m 0000600 0001750 0001750 00000001767 11713521330 020075 0 ustar carandraug carandraug function resu = imag(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: imag.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@imag, df, varargin{:});
endfunction
dataframe/inst/@dataframe/min.m 0000600 0001750 0001750 00000001767 11713521330 017743 0 ustar carandraug carandraug function resu = min(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: min.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper2(@min, df, varargin{:});
endfunction
dataframe/inst/@dataframe/and.m 0000600 0001750 0001750 00000002115 11713521330 017706 0 ustar carandraug carandraug function resu = and(A, B);
%# function resu = and(A, B)
%# Implements the '&' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: and.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_func(@and, A, B);
endfunction
dataframe/inst/@dataframe/uplus.m 0000600 0001750 0001750 00000002107 11713521330 020315 0 ustar carandraug carandraug function resu = uplus(df);
%# function resu = uplus(df)
%# Implements the unitary '+' operator for a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: uplus.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@uplus, df);
endfunction
dataframe/inst/@dataframe/gt.m 0000600 0001750 0001750 00000002111 11713521330 017552 0 ustar carandraug carandraug function resu = gt(A, B);
%# function resu = gt(A, B)
%# Implements the '>' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: gt.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_func(@gt, A, B);
endfunction
dataframe/inst/@dataframe/inv.m 0000600 0001750 0001750 00000003413 11713521330 017742 0 ustar carandraug carandraug function [resu, rcond] = inv(df);
%# function [x, rcond] = inv(df)
%# Overloaded function computing the inverse of a dataframe. To
%# succeed, the dataframe must be convertible to an square array. Row
%# and column meta-information are exchanged.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: inv.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if (length(df._cnt) > 2 || (df._cnt(1) != df._cnt(2))),
error("Dataframe is not square");
endif
%# quick and dirty conversion
[dummy, rcond] = inv(horzcat(df._data{:}));
resu = df_allmeta(df);
[resu._name{2}, resu._name{1}] = deal(resu._name{1}, resu._name{2});
[resu._over{2}, resu._over{1}] = deal(resu._over{1}, resu._over{2});
if (isempty(resu._name{2})),
resu._name{2} = cellstr(repmat('_', resu._cnt(2), 1));
resu._over{2} = ones(1, resu._cnt(2));
endif
for indi = resu._cnt(1):-1:1,
resu._data{indi} = dummy(:, indi);
endfor
resu._type(:) = class(dummy);
endfunction
dataframe/inst/@dataframe/sum.m 0000600 0001750 0001750 00000002063 11713521330 017752 0 ustar carandraug carandraug function resu = sum(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: sum.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if !isa(df, 'dataframe'),
resu = []; return;
endif
resu = df_mapper2(@sum, df, varargin{:});
endfunction
dataframe/inst/@dataframe/atanh.m 0000600 0001750 0001750 00000001772 11713521330 020247 0 ustar carandraug carandraug function resu = atanh(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: atanh.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@atanh, df, varargin{:});
endfunction
dataframe/inst/@dataframe/power.m 0000600 0001750 0001750 00000001772 11713521330 020310 0 ustar carandraug carandraug function resu = power(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: power.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@power, df, varargin{:});
endfunction
dataframe/inst/@dataframe/lgamma.m 0000600 0001750 0001750 00000001775 11713521330 020415 0 ustar carandraug carandraug function resu = lgamma(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: lgamma.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@lgamma, df, varargin{:});
endfunction
dataframe/inst/@dataframe/cumprod.m 0000600 0001750 0001750 00000002000 11713521330 020606 0 ustar carandraug carandraug function resu = cumprod(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: cumprod.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@cumprod, df, varargin{:});
endfunction
dataframe/inst/@dataframe/real.m 0000600 0001750 0001750 00000001767 11713521330 020103 0 ustar carandraug carandraug function resu = real(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: real.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@real, df, varargin{:});
endfunction
dataframe/inst/@dataframe/rdivide.m 0000600 0001750 0001750 00000002335 11713521330 020576 0 ustar carandraug carandraug function resu = rdivide(A, B);
%# function resu = rdivide(A, B)
%# Implements the dotted '\' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: rdivide.m 9585 2012-02-05 15:32:46Z cdemills $
%#
try
resu = df_func(@rdivide, A, B);
catch
disp(lasterr());
error("Operator ./ problem for %s vs. %s", class(A), class(B));
end_try_catch
endfunction
dataframe/inst/@dataframe/or.m 0000600 0001750 0001750 00000002111 11713521330 017560 0 ustar carandraug carandraug function resu = or(A, B);
%# function resu = or(A, B)
%# Implements the '|' operator when at least one argument is a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: or.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_func(@or, A, B);
endfunction
dataframe/inst/@dataframe/abs.m 0000600 0001750 0001750 00000001764 11713521330 017722 0 ustar carandraug carandraug function resu = abs(df, varargin)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: abs.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_mapper(@abs, df, varargin{:});
endfunction
dataframe/inst/@dataframe/private/df_thirddim.m 0000600 0001750 0001750 00000002422 11713521330 023074 0 ustar carandraug carandraug function [df] = df_thirddim(df)
%# function [resu] = df_thirddim(df)
%# This is a small helper function which recomputes the third dim each
%# time a change may have occured.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_thirddim.m 9585 2012-02-05 15:32:46Z cdemills $
%#
%# sanity check
dummy = max(cellfun(@length, df._rep));
if (dummy != 1),
df._cnt(3) = dummy;
elseif (length(df._cnt) > 2),
df._cnt = df._cnt(1:2);
endif
endfunction
dataframe/inst/@dataframe/private/df_pad.m 0000600 0001750 0001750 00000012547 11713521330 022045 0 ustar carandraug carandraug function df = df_pad(df, dim, n, coltype=[])
%# function resu = df_pad(df, dim, n, coltype = [])
%# given a dataframe, insert n rows or columns, and adjust everything
%# accordingly. Coltype is a supplemental argument:
%# dim = 1 => not used
%# dim = 2 => type of the added column(s)
%# dim = 3 => index of columns receiving a new sheet (default: all)
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_pad.m 9585 2012-02-05 15:32:46Z cdemills $
%#
switch dim
case 1
if (!isempty(df._name{1})),
if (length(df._name{1}) < df._cnt(1)+n),
%# generate a name for the new row(s)
df._name{1}(df._cnt(1)+(1:n), 1) = {'_'};
df._over{1}(1, df._cnt(1)+(1:n), 1) = true;
endif
endif
%# complete row indexes: by default, row number.
if (isempty(df._ridx)),
dummy = (1:n)(:);
else
dummy = vertcat(df._ridx, repmat(size(df._ridx, 1)+(1:n)(:), ...
1, size(df._ridx, 2)));
endif
df._ridx = dummy;
%# pad every line
for indi = 1:min(size(df._data, 2), df._cnt(2)),
neff = n + df._cnt(1) - size(df._data{indi}, 1);
if (neff > 0),
m = size(df._data{indi}, 2);
switch df._type{indi}
case {'char'}
dummy = {}; dummy(1:neff, 1:m) = NA;
dummy = vertcat(df._data{indi}, dummy);
case { 'double' }
dummy = vertcat(df._data{indi}, repmat(NA, neff, m));
otherwise
dummy = cast(vertcat(df._data{indi}, repmat(NA, neff, m)), ...
df._type{indi});
endswitch
df._data{indi} = dummy;
endif
endfor
df._cnt(1) = df._cnt(1) + n;
case 2
%# create new columns
if (isempty(coltype))
error("df_pad: dim equals 2, and coltype undefined");
endif
if (length(n) > 1), %#second value is an offset
indc = n(2); n = n(1);
if (indc < df._cnt(2)),
%# shift to the right
df._name{2}(n + (indc+1:end)) = df._name{2}(indc+1:end);
df._over{2}(n + (indc+1:end)) = df._over{2}(indc+1:end);
dummy = cstrcat(repmat('_', n, 1), ...
strjust(num2str(indc + (1:n).'), 'left'));
df._name{2}(indc + (1:n)) = cellstr(dummy);
df._over{2}(indc + (1:n)) = true;
df._type(n+(indc+1:end)) = df._type(indc+1:end);
df._type(indc + (1:n)) = NA;
df._data(n + (indc+1:end)) = df._data(indc+1:end);
df._rep(n + (indc+1:end)) = df._rep(indc+1:end);
df._data(indc + (1:n)) = NA;
df._rep(indc + (1:n)) = 1;
endif
else
%# add new values after the last column
indc = min(size(df._data, 2), df._cnt(2));
endif
if (!isa(coltype, 'cell')), coltype = {coltype}; endif
if (isscalar(coltype) && n > 1),
coltype = repmat(coltype, 1, n);
endif
for indi = (1:n),
switch coltype{indi}
case {'char'}
dummy = {repmat(NA, df._cnt(1), 1) };
dummy(:, 1) = '_';
case { 'double'}
dummy = repmat(NA, df._cnt(1), 1);
case {'logical'} %# there is no NA in logical type
dummy = repmat(false, df._cnt(1), 1);
otherwise
dummy = cast(repmat(NA, df._cnt(1), 1), coltype{indi});
endswitch
df._data{indc+indi} = dummy;
df._rep{indc+indi} = 1;
df._type{indc+indi} = coltype{indi};
endfor
if (size(df._data, 2) > df._cnt(2)),
df._cnt(2) = size(df._data, 2);
endif
if (length(df._name{2}) < df._cnt(2)),
%# generate a name for the new column(s)
dummy = cstrcat(repmat('_', n, 1), ...
strjust(num2str(indc + (1:n).'), 'left'));
df._name{2}(indc + (1:n)) = cellstr(dummy);
df._over{2}(1, indc + (1:n)) = true;
endif
case 3
if (n <= 0), return; endif
if (isempty(coltype)),
coltype = 1:df._cnt(2);
endif
dummy = max(n+cellfun(@length, df._rep(coltype)));
if (size(df._ridx, 2) < dummy),
df._ridx(:, end+1:dummy) = NA;
endif
for indi = coltype,
switch df._type{indi}
case {'char'}
if (isa(df._data{indi}, 'char')),
dummy = horzcat(df._data{indi}(:, df._rep{indi}), \
{repmat(NA, df._cnt(1), 1)});
else
dummy = df._data{indi};
endif
case { 'double' }
dummy = horzcat(df._data{indi}(:, df._rep{indi}), \
repmat(NA, df._cnt(1), 1));
case { 'logical' }
%# there is no logical 'NA' -- fill empty elems with false
dummy = horzcat(df._data{indi}(:, df._rep{indi}), \
repmat(false, df._cnt(1), 1));
otherwise
dummy = cast(horzcat(df._data{indi}(:, df._rep{indi}), \
repmat(NA, df._cnt(1), 1)), \
df._type{indi});
endswitch
df._data{indi} = dummy;
df._rep{indi} = [df._rep{indi} length(df._rep{indi})+ones(1, n)];
endfor
df = df_thirddim(df);
otherwise
error('Invalid dimension in df_pad');
endswitch
endfunction
dataframe/inst/@dataframe/private/df_strjust.m 0000600 0001750 0001750 00000002312 11713521330 023004 0 ustar carandraug carandraug function [a, b] = df_strjust(a, b)
%# small auxiliary function: make two char arrays the same width
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_strjust.m 9585 2012-02-05 15:32:46Z cdemills $
%#
indi = size(a, 2) - size(b, 2);
if indi < 0
a = horzcat(repmat(' ', size(a, 1), -indi), a);
elseif indi > 0,
b = horzcat(repmat(' ', size(b, 1), indi), b);
endif
endfunction
dataframe/inst/@dataframe/private/df_allmeta.m 0000600 0001750 0001750 00000003667 11713521330 022723 0 ustar carandraug carandraug function resu = df_allmeta(df, dim = [])
%# function resu = df_allmeta(df)
%# Returns a new dataframe, initalised with the all the
%# meta-information but with empty data
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_allmeta.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = dataframe([]);
if (isempty(dim)),
dim = df._cnt(1:2);
else
dim = dim(1:2); %# ignore third dim, if any
endif
resu._cnt(1:2) = min(dim, df._cnt(1:2));
if (!isempty(df._name{1})),
resu._name{1} = df._name{1}(1:resu._cnt(1));
resu._over{1} = df._over{1}(1:resu._cnt(1));
endif
if (!isempty(df._name{2})),
resu._name{2} = df._name{2}(1:resu._cnt(2));
resu._over{2} = df._over{2}(1:resu._cnt(2));
endif
if (!isempty(df._ridx)),
if (size(df._ridx, 2) >= resu._cnt(2)),
resu._ridx = df._ridx(1:resu._cnt(1), :, :);
else
resu._ridx = df._ridx(1:resu._cnt(1), 1, :);
endif
endif
%# init it with the right orientation
resu._data = cell(size(df._data));
resu._rep = cell(size(df._rep));
resu._type = df._type(1:resu._cnt(2));
resu._src = df._src;
resu._cmt = df._cmt;
endfunction
dataframe/inst/@dataframe/private/df_func.m 0000600 0001750 0001750 00000021435 11713521330 022230 0 ustar carandraug carandraug function resu = df_func(func, A, B, itercol=true, whole=logical([0 0]));
%# function resu = df_func(func, A, B, whole)
%# Implements an iterator to apply some func when at
%# least one argument is a dataframe. The output is a dataframe with
%# the same metadata, types may be altered, like f.i. double=>logical.
%# When itercol is 'true', the default, LHS is iterated by columns,
%# otherwise by rows. 'Whole' is a two-elements logical vector with
%# the meaning that LHS and or RHS must be iterated at once or not
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_func.m 9585 2012-02-05 15:32:46Z cdemills $
%#
[A, B, resu] = df_basecomp(A, B, itercol, func);
itercol = itercol(1); %# drop second value
if (isa(B, 'dataframe'))
if (!isa(A, 'dataframe')),
if (isscalar(A)),
for indi = resu._cnt(2):-1:1,
switch resu._type{indi}
case "char"
resu._data{indi} = feval(func, A, char(B._data{indi}));
otherwise
resu._data{indi} = feval(func, A, B._data{indi});
endswitch
endfor
resu._rep = B._rep;
else
if (whole(1) && !whole(2)),
for indi = resu._cnt(2):-1:1,
switch resu._type{indi}
case "char"
resu._data{indi} = feval(func, A, \
char(B._data{indi}(:, B._rep{indi})));
otherwise
resu._data{indi} = feval(func, A, \
B._data{indi}(:, B._rep{indi}));
endswitch
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
elseif (itercol && !whole(2)),
for indi = resu._cnt(2):-1:1,
switch resu._type{indi}
case "char"
resu._data{indi} = feval(func, squeeze(A(:, indi, :)), \
char(B._data{indi}(:, B._rep{indi})));
otherwise
resu._data{indi} = feval(func, squeeze(A(:, indi, :)), \
B._data{indi}(:, B._rep{indi}));
endswitch
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
elseif (!whole(2)),
warning("no 3D yet");
for indi = resu._cnt(2):-1:1,
switch resu._type{indi}
case "char"
resu._data{indi} = feval(func, A(indi, :), char(B._data{indi}));
otherwise
resu._data{indi} = feval(func, A(indi, :), B._data{indi});
endswitch
endfor
else
dummy = feval(func, A, df_whole(B));
for indi = resu._cnt(2):-1:1, %# store column-wise
resu._data{indi} = squeeze(dummy(:, indi, :));
resu._rep{indi} = 1:size(resu._data{indi}, 2);
resu._type{indi} = class(dummy);
endfor
endif
endif
else
if (itercol),
for indi = resu._cnt(2):-1:1,
switch resu._type{indi}
case "char"
resu._data{indi} = feval\
(func, char(A._data{indi}(:, A._rep{indi})), \
char(B._data{indi}(B._rep{indi})));
otherwise
resu._data{indi} = feval\
(func, A._data{indi}(:, A._rep{indi}), \
B._data{indi}(:, B._rep{indi}));
endswitch
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
else %# itercol is false
dummy = df_whole(A);
if whole(1),
for indi = resu._cnt(2):-1:1,
switch resu._type{indi}
case "char"
resu._data{indi} = feval(func, dummy, \
char(B._data{indi}(:, B._rep{indi})));
otherwise
resu._data{indi} = feval(func, dummy, \
B._data{indi}(:, B._rep{indi}));
endswitch
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
elseif (!whole(2)),
for indi = resu._cnt(2):-1:1,
switch resu._type{indi}
case "char"
resu._data{indi} = squeeze\
(feval(func, dummy(indi, :, :),\
char(B._data{indi}(:, B._rep{indi}))));
otherwise
resu._data{indi} = squeeze\
(feval(func, dummy(indi, :, :), \
B._data{indi}(:, B._rep{indi})));
endswitch
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
else
dummy = feval(func, dummy, df_whole(B));
for indi = resu._cnt(2):-1:1, %# store column-wise
resu._data{indi} = squeeze(dummy(:, indi, :));
resu._rep{indi} = 1:size(resu._data{indi}, 2);
resu._type{indi} = class(dummy);
endfor
endif
endif
endif
else %# B is not a dataframe
if (isscalar(B)),
for indi = resu._cnt(2):-1:1,
switch resu._type{indi}
case "char"
resu._data{indi} = feval(func, char(A._data{indi}), B);
otherwise
resu._data{indi} = feval(func, A._data{indi}, B);
endswitch
endfor
resu._rep = A._rep;
else
if (itercol),
if (whole(2)),
for indi = resu._cnt(2):-1:1,
switch resu._type{indi}
case "char"
unfolded = char(A._data{indi}(:, A._rep{indi}));
otherwise
unfolded = A._data{indi}(:, A._rep{indi});
endswitch
resu._data{indi} = squeeze(feval(func, unfolded, B));
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
else
for indi = resu._cnt(2):-1:1,
switch resu._type{indi}
case "char"
unfolded = char(A._data{indi}(:, A._rep{indi}));
otherwise
unfolded = A._data{indi}(:, A._rep{indi});
endswitch
resu._data{indi} = feval(func, unfolded, \
squeeze(B(:, indi, :)));
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
endif
else
dummy = df_whole(A);
if whole(1),
for indi = columns(B):-1:1,
resu._data{indi} = squeeze(feval(func, dummy, B(:, indi, :)));
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
else
if !whole(2),
for indi = resu._cnt(1):-1:1,
resu._data{indi} = squeeze(feval(func, dummy(indi, :, :), \
B(:, indi, :)));
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
else
for indi = resu._cnt(1):-1:1, %# in place computation
dummy(indi, :, :) = feval(func, dummy(indi, :, :), B);
endfor
for indi = resu._cnt(2):-1:1, %# store column-wise
resu._data{indi} = squeeze(dummy(:, indi, :));
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
endif
endif
%# verify that sizes match, this is required for "\"
resu._cnt(2) = length(resu._data);
resu._cnt(1) = max(cellfun('size', resu._data, 1));
if (length(resu._ridx) < resu._cnt(1)),
if (1 == length(resu._ridx)),
resu._ridx(end+1:resu._cnt(1), 1) = resu._ridx(1);
else
resu._ridx(end+1:resu._cnt(1), 1) = NA;
endif
endif
if (length(resu._name{2}) < resu._cnt(2)),
if (1 == length(resu._name{2})),
resu._name{2}(end+1:resu._cnt(2), 1) = resu._name{2};
resu._over{2}(end+1:resu._cnt(2), 1) = resu._over{2};
else
resu._name{2}(end+1:resu._cnt(2), 1) = '_';
resu._over{2}(end+1:resu._cnt(2), 1) = true;
endif
endif
endif
endif
endif
resu._type = cellfun(@class, resu._data, "UniformOutput", false);
resu = df_thirddim(resu);
endfunction
dataframe/inst/@dataframe/private/df_whole.m 0000600 0001750 0001750 00000003162 11713521330 022410 0 ustar carandraug carandraug function resu = df_whole(df);
%# function resu = df_whole(df)
%# Generate a full matrix from a column-compressed version of a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_whole.m 9585 2012-02-05 15:32:46Z cdemills $
%#
inds = max(cellfun(@length, df._rep));
resu = df._data{1}(:, df._rep{1});
if (inds > 1),
resu = reshape(resu, df._cnt(1), 1, []);
if (1 == size(resu, 3)),
resu = repmat(resu, [1 1 inds]);
endif
endif
if df._cnt(2) > 1,
resu = repmat(resu, [1 df._cnt(2)]);
for indi = 2:df._cnt(2),
dummy = df._data{indi}(:, df._rep{indi});
if (inds > 1),
dummy = reshape(dummy, df._cnt(1), 1, []);
if (1 == size(dummy, 3)),
dummy = repmat(dummy, [1 1 inds]);
endif
endif
resu(:, indi, :) = dummy;
endfor
endif
endfunction
dataframe/inst/@dataframe/private/df_mapper2.m 0000600 0001750 0001750 00000004653 11713521330 022646 0 ustar carandraug carandraug function resu = df_mapper2(func, df, varargin)
%# resu = df_mapper2(func, df)
%# small interface to iterate some vector func over the elements of a
%# dataframe. This one is specifically adapted to all functions where
%# the first argument, if numeric, is 'dim'.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_mapper2.m 9585 2012-02-05 15:32:46Z cdemills $
%#
dim = 1; resu = []; vout = varargin;
%# take care of constructs as min(x, [], dim)
if (!isempty(varargin)),
indk = 1; while indk <= length(varargin),
if (isnumeric(varargin{indk})),
if (isempty(varargin{indk})),
indk = indk + 1; continue;
endif
dim = varargin{indk};
%# the "third" dim is the second on stored data
if 3 == dim, vout(indk) = 2; endif
endif
break;
endwhile
endif
switch(dim)
case {1},
resu = df_colmeta(df);
for indi = 1:df._cnt(2),
resu._data{indi} = feval(func, df._data{indi}(:, df._rep{indi}), \
vout{:});
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
resu._cnt(1) = max(cellfun('size', resu._data, 1));
if (resu._cnt(1) == df._cnt(1)),
%# the func was not contracting
resu._ridx = df._ridx;
resu._name{1} = resu._name{1}; resu._over{1} = resu._over{1};
endif
case {2},
error('Operation not implemented');
case {3},
resu = df_allmeta(df);
for indi = 1:df._cnt(2),
resu._data{indi} = feval(func, df._data{indi}(:, df._rep{indi}), \
vout{:});
resu._rep{indi} = 1:size(resu._data{indi}, 2);
endfor
otherwise
error("Invalid dimension %d", dim);
endswitch
resu = df_thirddim(resu);
endfunction
dataframe/inst/@dataframe/private/df_matassign.m 0000600 0001750 0001750 00000042555 11715233166 023302 0 ustar carandraug carandraug function df = df_matassign(df, S, indc, ncol, RHS)
%# auxiliary function: assign the dataframe as if it was a matrix
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_matassign.m 9615 2012-02-10 15:22:57Z cdemills $
%#
if (isnull (RHS))
if (1 == ncol)
if (sum (~strcmp (S.subs, ':')) > 2)
error("A null assignment can only have one non-colon index.");
endif
elseif (sum (~strcmp (S.subs, ':')) > 1)
error("A null assignment can only have one non-colon index.");
endif
if (strcmp (S.subs(1), ':')) %# removing column/matrix
RHS = S; RHS.subs(2) = [];
for indi = (indc)
unfolded = df._data{indi}(:, df._rep{indi});
unfolded = feval (@subsasgn, unfolded, RHS, []);
df._data{indi} = unfolded;
if (~isempty (unfolded))
df._rep(indi) = 1:size (unfolded, 2);
endif
endfor
%# remove empty elements
indi = cellfun ('isempty', df._data);
if (any (indi)) %# nothing left, remove this column
df._cnt(2) = df._cnt(2) - sum (indi);
indi = ~indi; %# vector of kept data
df._name{2} = df._name{2}(indi);
df._over{2} = df._over{2}(indi);
df._type = df._type(indi);
df._data = df._data(indi);
df._rep = df._rep(indi);
endif
if (size (df._ridx, 3) > 1)
df._ridx(:, indc, :) = [];
endif
elseif (strcmp (S.subs(2), ':')) %# removing rows
indr = S.subs{1};
if (~isempty (df._name{1}))
df._name{1}(indr, :) = [];
df._over{1}(indr) = [];
endif
df._ridx(indr, :, :) = [];
%# to remove a line, iterate on each column
df._data = cellfun (@(x) feval(@subsasgn, x, S, []), \
df._data, "UniformOutPut", false);
if (isa (indr, 'char'))
df._cnt(1) = 0;
else
df._cnt(1) = df._cnt(1) - length (indr);
endif
endif
df = df_thirddim (df);
return;
endif
indc_was_set = ~isempty (indc);
if (~indc_was_set) %# initial dataframe was empty
ncol = size (RHS, 2); indc = 1:ncol;
endif
indr = S.subs{1, 1};
indr_was_set = ~isempty (indr);
%# initial dataframe was empty ?
if (~indr_was_set || strcmp (indr, ':'))
if (iscell (RHS))
nrow = max (sum (cellfun ('size', RHS, 1)));
else
if (isvector (RHS))
if (0 == df._cnt(1))
nrow = size (RHS, 1);
else
nrow = df._cnt(1); %# limit to df numbner of rows
endif
else
%# deduce limit from RHS
nrow = size (RHS, 1);
endif
endif
indr = 1:nrow;
elseif (~isempty (indr))
if (~isnumeric (indr))
%# translate row names to row index
[indr, nrow] = df_name2idx (df._name{1}, indr, df._cnt(1), 'row');
S.subs{1, 1} = indr;
else
nrow = length (indr);
endif
endif
if (length (S.subs) > 2)
inds = S.subs{1, 3};
else
inds = [];
endif
rname = cell(0, 0); rname_width = max (1, size (df._name{2}, 2));
ridx = []; cname = rname; ctype = rname;
if (iscell (RHS))
if ((length (indc) == df._cnt(2) && size (RHS, 2) >= df._cnt(2)) \
|| 0 == df._cnt(2) || isempty (S.subs{1}) || isempty (S.subs{2}))
%# providing too much information -- remove extra content
if (size (RHS, 1) > 1)
%# at this stage, verify that the first line doesn't contain
%# chars only; use them for column names
dummy = cellfun ('class', \
RHS(1, ~cellfun ('isempty', RHS(1, :))), \
'UniformOutput', false);
dummy = strcmp (dummy, 'char');
if (all (dummy))
if (length (df._over{2}) >= max (indc) \
&& ~all (df._over{2}(indc)) && ~isempty (S.subs{2}))
warning("Trying to overwrite colum names");
endif
cname = RHS(1, :).'; RHS = RHS(2:end, :);
if (~indr_was_set)
nrow = nrow - 1; indr = 1:nrow;
else
%# we know indr, there is no reason that RHS(:, 1) contains
%# row names.
if (isempty (S.subs{2}))
%# extract columns position from columns names
[indc, ncol, S.subs{2}, dummy] = ...
df_name2idx (df._name{2}, cname, df._cnt(2), 'column');
if (length (dummy) ~= sum (dummy))
warning ("Not all RHS column names used");
cname = cname(dummy); RHS = RHS(:, dummy);
endif
endif
endif
endif
%# at this stage, verify that the first line doesn't contain
%# chars only; use them for column types
dummy = cellfun ('class', \
RHS(1, ~cellfun ('isempty', RHS(1, :))), \
'UniformOutput', false);
dummy = strcmp (dummy, 'char');
if (all (dummy))
if (length (df._over{2}) >= max (indc) \
&& ~all (df._over{2}(indc)))
warning ("Trying to overwrite colum names");
endif
ctype = RHS(1, :); RHS = RHS(2:end, :);
if (~indr_was_set)
nrow = nrow - 1; indr = 1:nrow;
endif
endif
endif
%# more elements than df width -- try to use the first two as
%# row index and/or row name
if (size (RHS, 1) > 1)
dummy = all (cellfun ('isnumeric', \
RHS(~cellfun ('isempty', RHS(:, 1)), 1)));
else
dummy = isnumeric(RHS{1, 1});
endif
dummy = dummy && (~isempty (cname) && size (cname{1}, 2) < 1);
if (dummy)
ridx = cell2mat (RHS(:, 1));
%# can it be converted to a list of unique numbers ?
if (length (unique (ridx)) == length (ridx))
ridx = RHS(:, 1); RHS = RHS(:, 2:end);
if (length (df._name{2}) == df._cnt(2) + ncol)
%# columns name were pre-filled with too much values
df._name{2}(end) = [];
df._over{2}(end) = [];
if (size (RHS, 2) < ncol)
ncol = size (RHS, 2); indc = 1:ncol;
endif
elseif (~indc_was_set)
ncol = ncol - 1; indc = 1:ncol;
endif
if (~isempty (cname)) cname = cname(2:end); endif
if (~isempty (ctype)) ctype = ctype(2:end); endif
else
ridx = [];
endif
endif
if (size (RHS, 2) > df._cnt(2))
%# verify the the first row doesn't contain chars only, use them
%# for row names
dummy = cellfun ('class', \
RHS(~cellfun ('isempty', RHS(:, 1)), 1), \
'UniformOutput', false);
dummy = strcmp (dummy, 'char') \
&& (~isempty (cname) && size (cname{1}, 2) < 1);
if (all (dummy))
if (length (df._over{1}) >= max (indr) \
&& ~all (df._over{1}(indr)))
warning("Trying to overwrite row names");
else
rname = RHS(:, 1);
endif
rname_width = max ([1; cellfun('size', rname, 2)]);
RHS = RHS(:, 2:end);
if (length (df._name{2}) == df._cnt(2) + ncol)
%# columns name were pre-filled with too much values
df._name{2}(end) = [];
df._over{2}(end) = [];
if (size (RHS, 2) < ncol)
ncol = size (RHS, 2); indc = 1:ncol;
endif
elseif (~indc_was_set)
ncol = ncol - 1; indc = 1:ncol;
endif
if (~isempty (cname)) cname = cname(2:end); endif
if (~isempty (ctype)) ctype = ctype(2:end); endif
endif
endif
endif
endif
%# perform row resizing if columns are already filled
if (~isempty (indr) && isnumeric(indr))
if (max (indr) > df._cnt(1) && size (df._data, 2) == df._cnt(2))
df = df_pad (df, 1, max (indr)-df._cnt(1), rname_width);
endif
endif
if (iscell(RHS)) %# we must pad on a column-by-column basis
%# verify that each cell contains a non-empty vector, and that sizes
%# are compatible
%# dummy = cellfun ('size', RHS(:), 2);
%# if any (dummy < 1),
%# error("cells content may not be empty");
%# endif
%# dummy = cellfun ('size', RHS, 1);
%# if any (dummy < 1),
%# error("cells content may not be empty");
%# endif
%# if any (diff(dummy) > 0),
%# error("cells content with unequal length");
%# endif
%# if 1 < size (RHS, 1) && any (dummy > 1),
%# error("cells may only contain scalar");
%# endif
if (size(RHS, 2) > indc)
keyboard
endif
%# the real assignement
if (1 == size (RHS, 1)) %# each cell contains one vector
fillfunc = @(x) RHS{x};
idxOK = logical(indr);
else %# use cell2mat to pad on a column-by-column basis
fillfunc = @(x) cell2mat (RHS(:, x));
endif
indj = 1;
for indi = (1:ncol)
if (indc(indi) > df._cnt(2))
%# perform dynamic resizing one-by-one, to get type right
if (isempty (ctype) || length (ctype) < indc(indi))
df = df_pad(df, 2, indc(indi)-df._cnt(2), class(RHS{1, indj}));
else
df = df_pad(df, 2, indc(indi)-df._cnt(2), ctype{indj});
endif
endif
if (nrow == df._cnt(1))
%# whole assignement
try
if (size (RHS, 1) <= 1)
switch df._type{indc(indi)}
case {'char' } %# use a cell array to hold strings
dummy = RHS(:, indj);
case {'double' }
dummy = fillfunc (indj);
otherwise
dummy = cast(fillfunc (indj), df._type{indc(indi)});
endswitch
else
%# keeps indexes in sync as cell elements may be empty
idxOK = ~cellfun ('isempty', RHS(:, indj));
%# intialise dummy so that it can receive "anything"
dummy = [];
switch (df._type{indc(indi)})
case {'char' } %# use a cell array to hold strings
dummy = RHS(:, indj);
case {'double' }
dummy(idxOK, :) = fillfunc (indj); dummy(~idxOK, :) = NA;
otherwise
dummy(idxOK, :) = fillfunc (indj); dummy(~idxOK, :) = NA;
dummy = cast(dummy, df._type{indc(indi)});
endswitch
endif
catch
dummy = \
sprintf ("Assignement failed for colum %d, of type %s and length %d,\nwith new content\n%s", \
indj, df._type{indc(indi)}, length (indr), disp (RHS(:, indj)));
error (dummy);
end_try_catch
if (size (dummy, 1) < df._cnt(1))
dummy(end+1:df._cnt(1), :) = NA;
endif
else
%# partial assignement -- extract actual data and update
dummy = df._data{indc(indi)};
try
switch (df._type{indc(indi)})
case {'char' } %# use a cell array to hold strings
dummy(indr, 1) = RHS(:, indj);
case {'double' }
dummy(indr, :) = fillfunc (indj);
otherwise
dummy(indr, :) = cast(fillfunc (indj), df._type{indc(indi)});
endswitch
catch
dummy = \
sprintf ("Assignement failed for colum %d, of type %s and length %d,\nwith new content\n%s", \
indj, df._type{indc(indi)}, length (indr), disp(RHS(:, indj)));
error (dummy);
end_try_catch
endif
df._data{indc(indi)} = dummy; df._rep{indc(indi)} = 1:size (dummy, 2);
indj = indj + 1;
endfor
else
%# RHS is either a numeric, either a df
if (any (indc > min (size (df._data, 2), df._cnt(2))))
df = df_pad(df, 2, max (indc-min (size (df._data, 2), df._cnt(2))),\
class(RHS));
endif
if (~isempty (inds) && isnumeric(inds) && any (inds > 1))
for indi = (1:length (indc))
if (max (inds) > length (df._rep{indc(indi)}))
df = df_pad(df, 3, max (inds)-length (df._rep{indc(indi)}), \
indc(indi));
endif
endfor
endif
if (isa (RHS, 'dataframe'))
%# block-copy index
S.subs(2) = 1;
if (any (~isna(RHS._ridx)))
df._ridx = feval(@subsasgn, df._ridx, S, RHS._ridx);
endif
%# skip second dim and copy data
S.subs(2) = []; Sorig = S;
for indi = (1:length (indc))
[df, S] = df_cow(df, S, indc(indi));
if (strcmp (df._type(indc(indi)), RHS._type(indi)))
try
df._data{indc(indi)} = feval(@subsasgn, df._data{indc(indi)}, S, \
RHS._data{indi}(:, RHS._rep{indi}));
catch
disp(lasterr()); disp('line 516 ???'); keyboard
end_try_catch
else
df._data{indc(indi)} = feval(@subsasgn, df._data{indc(indi)}, S, \
cast(RHS._data{indi}(:, RHS._rep{indi}),\
df._type(indc(indi))));
endif
S = Sorig;
endfor
if (~isempty (RHS._name{1}))
df._name{1}(indr) = genvarname(RHS._name{1}(indr));
df._over{1}(indr) = RHS._over{1}(indr);
endif
if (~isempty (RHS._src))
if (~any (strcmp (cellstr(df._src), cellstr(RHS._src))))
df._src = vertcat(df._src, RHS._src);
endif
endif
if (~isempty (RHS._cmt))
if (~any (strcmp (cellstr(df._cmt), cellstr(RHS._cmt))))
df._cmt = vertcat(df._cmt, RHS._cmt);
endif
endif
else
%# RHS is homogenous, pad at once
if (isvector (RHS)) %# scalar - vector
if (isempty (S.subs))
fillfunc = @(x, y) RHS;
else
%# ignore 'column' dimension -- force colum vectors -- use a
%# third dim just in case
if (isempty (S.subs{1})) S.subs{1} = ':'; endif
S.subs(2) = [];
if (length (S.subs) < 2)
S.subs{2} = 1;
endif
if (length (indc) > 1 && length (RHS) > 1)
%# set a row from a vector
fillfunc = @(x, S, y) feval (@subsasgn, x, S, RHS(y));
else
fillfunc = @(x, S, y) feval (@subsasgn, x, S, RHS);
endif
endif
Sorig = S;
for indi = (1:length (indc))
try
[df, S] = df_cow(df, S, indc(indi));
df._data{indc(indi)} = fillfunc (df._data{indc(indi)}, S, indi);
S = Sorig;
catch
disp(lasterr)
disp('line 470 '); keyboard
end_try_catch
# catch
# if ndims(df._data{indc(indi)}) > 2,
# %# upstream forgot to give the third dim
# dummy = S; dummy.subs(3) = 1;
# df._data{indc(indi)} = fillfunc(df._data{indc(indi)}, \
# dummy, indi);
# else
# rethrow(lasterr());
# endif
# end_try_catch
endfor
else %# 2D - 3D matrix
S.subs(2) = []; %# ignore 'column' dimension
if (isempty (S.subs{1}))
S.subs{1} = indr;
endif
%# rotate slices in dim 1-3 to slices in dim 1-2
fillfunc = @(x, S, y) feval(@subsasgn, x, S, squeeze(RHS(:, y, :)));
Sorig = S;
for indi = (1:length (indc))
[df, S] = df_cow(df, S, indc(indi));
df._data{indc(indi)} = fillfunc (df._data{indc(indi)}, S, indi);
S = Sorig;
endfor
endif
if (indi < size (RHS, 2) && ~isa (RHS, 'char'))
warning (' not all columns of RHS used');
endif
endif
endif
%# delayed row padding -- column padding occured before
if (~isempty (indr) && isnumeric (indr))
if (max (indr) > df._cnt(1) && size (df._data, 2) < df._cnt(2))
df = df_pad(df, 1, max (indr)-df._cnt(1), rname_width);
endif
endif
%# adjust ridx and rnames, if required
if (~isempty (ridx))
dummy = df._ridx;
if (1 == size (RHS, 1))
dummy(indr) = ridx{1};
else
dummy(indr) = vertcat(ridx{indr});
endif
if (length (unique (dummy)) ~= length (dummy)) %# || \
%# any (diff(dummy) <= 0),
error("row indexes are not unique or not ordered");
endif
df._ridx = dummy;
endif
if (~isempty (rname) && (length (df._over{1}) < max (indr) || \
all (df._over{1}(indr))))
df._name{1}(indr, 1) = genvarname(rname);
df._over{1}(1, indr) = false;
endif
if (~isempty (cname) && (length (df._over{2}) < max (indc) || \
all (df._over{2}(indc))))
try
df._name{2}(indc, 1) = genvarname (cname);
catch
disp('line 472 '); keyboard
end_try_catch
df._over{2}(1, indc) = false;
endif
df = df_thirddim (df);
endfunction
dataframe/inst/@dataframe/private/df_check_char_array.m 0000600 0001750 0001750 00000003126 11713521330 024542 0 ustar carandraug carandraug function resu = df_check_char_array(x, nelem, required)
%# auxiliary function: pad a char array to some width
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_check_char_array.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if 2 == nargin, required = [nelem 1]; endif
if nelem < required(1),
error("Too many elements to assign");
endif
%# a zero-length element is still considered as a space by char
if isempty(x), x = ' '; endif
if size(x, 1) < max(required(1), nelem)
%# pad vertically
dummy = repmat(' ', nelem-size(x, 1), 1);
resu = char(x, dummy);
else
resu = x;
endif
if size(resu, 2) < required(2),
%# pad horizontally
dummy = repmat(' ', nelem, required(2)-size(resu, 2));
resu = horzcat(resu, dummy);
endif
endfunction
dataframe/inst/@dataframe/private/df_basecomp.m 0000600 0001750 0001750 00000012740 11713521330 023065 0 ustar carandraug carandraug function [A, B, C] = df_basecomp(A, B, itercol=true, func=@plus);
%# function [A, B, C] = df_basecomp(A, B, itercol)
%# Basic size and metadata compatibility verifications for
%# two-arguments operations on dataframe. Returns a scalar, a matrix,
%# or a dataframe. Cell arrays are converted to df. Third output
%# contains a merge of the metadata.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_basecomp.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if 1 == length(itercol),
strict = false;
else
strict = itercol(2); itercol = itercol(1);
endif
if (iscell(A)), A = dataframe(A); endif
if (iscell(B)), B = dataframe(B); endif
switch (func2str(func)),
case 'bsxfun'
%# bsxfun compatibility rule: if there is at least one singleton
%# dim, the smallest is repeated to reach the size of the
%# greatest. Otherwise, all dims must be equal.
if (any(size(A)(1:2) != size(B)(1:2)))
if (!any (1 == [size(A) size(B)]))
error('bsxfun: both arguments must have the same dim, of one of them must have at least one singleton dim');
else
Csize = max([size(A)(1:2); size(B)(1:2)]);
endif
else
Csize = size(A)(1:2);
endif
case 'mldivide'
if (isscalar(A)),
Csize = size(B)(1:2);
else
if (size(A, 1) != size(B, 1)),
error("Non compatible row sizes (op1 is %dx%d, op2 is %dx%d)",\
size(A), size(B)(1:2));
endif
Csize = [size(A, 2) size(B, 2)];
endif
otherwise
%# if strict is set, B may not be non-scalar vs scalar
if ((!(isscalar(A) || isscalar(B)))||(strict && isscalar(A))),
if (itercol), %# requires full compatibility
Csize = size(A)(1:2);
if (any(Csize - size(B)(1:2))),
%# disp([size(A) size(B)])
error("Non compatible row and columns sizes (op1 is %dx%d, op2 is %dx%d)",\
Csize, size(B));
endif
else %# compatibility with matrix product
if (size(A, 2) - size(B, 1)),
error("Non compatible columns vs. rows size (op1 is %dx%d, op2 is %dx%d)",\
size(A)(1:2), size(B)(1:2));
endif
Csize = [size(A, 1) size(B, 2)];
endif
endif
endswitch
if !(isscalar(A) || isscalar(B))
C = [];
if (isa(A, 'dataframe'))
if (nargout > 2 && all(Csize == size(A)(1:2))),
C = df_allmeta(A, Csize);
endif
if (isa(B, 'dataframe'))
if (nargout > 2 && isempty(C) && all(Csize == size(B)(1:2))),
C = df_allmeta(B, Csize);
endif
if (strict),
%# compare indexes if both exist
if (!isempty(A._ridx))
if (!isempty(B._ridx) && itercol),
if (any(A._ridx-B._ridx)),
error("Non compatible indexes");
endif
endif
else
if (nargout > 2 && itercol), C._ridx = B._ridx; endif
endif
if (itercol),
idxB = 1; %# row-row comparison
else
idxB = 2; %# row-col comparsion
endif
if (!isempty(A._name{1}))
if (!isempty(B._name{idxB}))
dummy = !(strcmp(cellstr(A._name{1}), cellstr(B._name{idxB}))\
| (A._over{1}(:)) | (B._over{idxB}(:)));
if (any(dummy)),
if (itercol),
error("Incompatible row names");
else
error("Incompatible row vs. column names");
endif
endif
dummy = A._over{1} > B._over{idxB};
if (any(dummy)),
C._name{1}(dummy) = B._name{idxB}(dummy);
C._over{1}(dummy) = B._over{idxB}(dummy);
endif
endif
else
if (nargout > 2),
C._name{1} = B._name{idxB}; C._over{1} = B._over{idxB};
endif
endif
idxB = 3-idxB;
if (!isempty(A._name{2}))
if (!isempty(B._name{idxB}))
dummy = !(strcmp(cellstr(A._name{2}), cellstr(B._name{2}))\
| (A._over{2}(:)) | (B._over{2}(:)));
if (any(dummy)),
if (itercol),
error("Incompatible column vs row names");
else
error("Incompatible column names");
endif
endif
dummy = A._over{2} > B._over{idxB};
if (any(dummy)),
C._name{2}(dummy) = B._name{idxB}(dummy);
C._over{2}(dummy) = B._over{idxB}(dummy);
endif
endif
else
if (nargout > 2 && !isempty(B._name{idxB})),
C._name{2} = B._name{idxB}; C._over{2} = B._over{idxB};
endif
endif
endif
if (isempty(A._src) && nargout > 2 && !isempty(B._src)),
C._src = B._src;
endif
if (isempty(A._cmt) && nargout > 2 && !isempty(B._cmt)),
C._cmt = B._cmt;
endif
else %# B is not a df
if (nargout > 2 && isempty(C)),
C = df_allmeta(A);
endif
endif
else %# A is not a df
if (nargout > 2),
if (all(Csize==size(B)(1:2))),
C = df_allmeta(B, Csize);
else
C = df_allmeta(B);
endif
endif
endif
else %# both arg are scalar
if (nargout > 2),
if (isa(A, 'dataframe'))
C = df_allmeta(A);
else
C = df_allmeta(B);
endif
endif
endif
endfunction
dataframe/inst/@dataframe/private/df_cow.m 0000600 0001750 0001750 00000004556 11713521330 022072 0 ustar carandraug carandraug function [df, S] = df_cow(df, S, col)
%# function [resu, S] = df_cow(df, S, col)
%# Implements Copy-On-Write on dataframe. If one or more columns
%# specified in inds is aliased to another one, duplicate it and
%# adjust the repetition index to remove the aliasing
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_cow.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if length(col) > 1,
error("df_cow must work on a column-by-column basis");
endif
if (1 == length(S.subs)),
inds = 1;
else
inds = S.subs{2};
endif
if (!isnumeric(inds)),
if !strcmp(inds, ':'),
error("Unknown sheet selector %s", inds);
endif
inds = 1:length(df._rep(col));
endif
for indi = inds(:).',
dummy = df._rep{col}; dummy(indi) = 0;
[t1, t2] = ismember(df._rep{col}(indi)(:), dummy);
for indj = t2(find(t2)), %# Copy-On-Write
%# determines the index for the next column
t1 = 1+max(df._rep{col});
%# duplicate the touched column
df._data{col} = horzcat(df._data{col}, \
df._data{col}(:, df._rep{col}(indj)));
if (indi > 1),
%# a new column has been created
df._rep{col}(indi) = t1;
else
%# update repetition index aliasing this one
df._rep{col}(find(dummy == indi)) = t1;
endif
endfor
endfor
%# reorder S
if (length(S.subs) > 1),
if (S.subs{2} != 1 || length(S.subs{2}) > 1),
%# adapt sheet index according to df_rep
S.subs{2} = df._rep{col}(S.subs{2});
endif
endif
df = df_thirddim(df);
endfunction
dataframe/inst/@dataframe/private/df_name2idx.m 0000700 0001750 0001750 00000010674 11713521330 023010 0 ustar carandraug carandraug function [idx, nelem, subs, mask] = df_name2idx(names, subs, count, dimname, missingOK=false);
%# This is a helper routine to translate rownames or columnames into
%# real index. Input: names, a char array, and subs, a cell array as
%# produced by subsref and similar. This routine can also detect
%# ranges, two values separated by ':'. On output, subs is
%# 'sanitised' from names, and is either a vector, either a single ':'
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_name2idx.m 9585 2012-02-05 15:32:46Z cdemills $
%#
if (isempty (subs))
%# not caring about rownames ? Avoid generating an error.
idx = []; nelem = 0; return
endif
if (isa (subs, 'char')),
orig_name = subs;
if (1 == size (subs, 1))
if (strcmp(subs, ':')) %# range operator
idx = 1:count; nelem = count;
return
endif
endif
subs = cellstr (subs);
else
if (~isvector(subs))
%# yes/no ?
%# error("Trying to access column as a matrix");
endif
switch (class (subs))
case {"cell"}
orig_name = char (subs);
case {"dataframe"}
orig_name = "elements indexed by a dataframe";
otherwise
orig_name = num2str (subs);
endswitch
endif
if (isa (subs, 'cell'))
subs = subs(:); idx = []; mask = logical (zeros (size (subs, 1), 1));
%# translate list of variables to list of indices
for indi = (1:size(subs, 1))
%# regexp doesn't like empty patterns
if (isempty (subs{indi})) continue; endif
%# convert from standard pattern to regexp pattern
subs{indi} = regexprep (subs{indi}, '([^\.\\])(\*|\?)', "$1.$2");
%# quote repetition ops at begining of line, otherwise the regexp
%# will stall forever/fail
subs{indi} = regexprep (subs{indi}, \
'^([\*\+\?\{\}\|])', "\\$1");
%# detect | followed by EOL
subs{indi} = regexprep (subs{indi}, '([^\\])\|$', "$1\\|");
if (0 == index (subs{indi}, ':'))
for indj = (1:min (length (names), count)) %# sanity check
if (~isempty (regexp (names{indj}, subs{indi})))
idx = [idx indj]; mask(indi) = true;
endif
endfor
else
dummy = strsplit (subs{indi}, ':');
ind_start = 1;
if (!isempty (dummy{1}))
ind_start = sscanf (dummy{1}, "%d");
if (isempty (ind_start))
ind_start = 1;
for indj = (1:min(length (names), count)) %# sanity check
if (~isempty (regexp (names{indj}, subs{indi}))),
ind_start = indj; break; %# stop at the first match
endif
endfor
endif
endif
if (isempty (dummy{2}) || strcmp (dummy{2}, 'end'))
ind_stop = count;
else
ind_stop = sscanf(dummy{2}, "%d");
if (isempty (ind_stop))
ind_stop = 1;
for indj = (min (length (names), count):-1:1) %# sanity check
if (~isempty (regexp (names{indj}, subs{indi})))
ind_stop = indj; break; %# stop at the last match
endif
endfor
endif
endif
idx = [idx ind_start:ind_stop];
endif
endfor
if (isempty (idx) && ~missingOK)
dummy = sprintf ("Unknown %s name while searching for %s", ...
dimname, orig_name);
error (dummy);
endif
elseif (isa (subs, 'logical'))
idx = 1:length (subs(:)); idx = reshape (idx, size (subs));
idx(~subs) = []; mask = subs;
elseif (isa (subs, 'dataframe'))
idx = subsindex (subs, 1);
else
idx = subs;
endif
subs = idx;
nelem = length (idx);
endfunction
dataframe/inst/@dataframe/private/df_colmeta.m 0000600 0001750 0001750 00000002630 11713521330 022715 0 ustar carandraug carandraug function resu = df_colmeta(df)
%# function resu = df_colmeta(df)
%# Returns a new dataframe, initalised with the meta-information
%# about columns from the source, but with empty data
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_func.m 7943 2010-11-24 15:33:54Z cdemills $
%#
resu = dataframe([]);
resu._cnt(2) = df._cnt(2);
resu._name{2} = df._name{2};
resu._over{2} = df._over{2};
resu._type = df._type;
%# init it with the right orientation
resu._data = cell(size(df._data));
resu._rep = cell(size(df._rep));
resu._src = df._src;
resu._cmt = df._cmt;
endfunction
dataframe/inst/@dataframe/private/df_strset.m 0000600 0001750 0001750 00000004712 11713521330 022620 0 ustar carandraug carandraug function [x, over] = df_strset(x, over, S, RHS, pad = ' ')
%# x = df_strset(x, over, S, RHS, pad = " ")
%# replaces the strings in cellstr x at indr by strings at y. Adapt
%# the width of x if required. Use x 'over' attribute to display a
%# message in case strings are overwritten.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_strset.m 9585 2012-02-05 15:32:46Z cdemills $
%#
%# adjust x size, if required
if isnull(RHS),
%# clearing
if isempty(S),
x = cell(0, 1); over = zeros(1, 0);
return
endif
dummy = S; dummy(1).subs(2:end) = [];
over = builtin('subsasgn', over, dummy, true);
else
if isempty(S), %# complete overwrite
if ischar(RHS), RHS = cellstr(RHS); endif
nrow = length(RHS);
if any(~over(nrow)),
warning('going to overwrite names');
endif
x(1:nrow) = RHS;
over(1:nrow) = false;
if nrow < length(x),
x(nrow+1:end) = {pad};
endif
return
else
dummy = S(1); dummy.subs(2:end) = []; % keep first dim only
if any(~(builtin('subsref', over, dummy)));
warning('going to overwrite names');
endif
over = builtin('subsasgn', over, dummy, false);
endif
endif
%# common part
if ischar(RHS) && length(S(1).subs) > 1,
%# partial accesses to a char array
dummy = char(x);
dummy = builtin('subsasgn', dummy, S, RHS);
if isempty(dummy),
x = cell(0, 1); over = zeros(1, 0);
return
endif
if size(dummy, 1) == length(x),
x = cellstr(dummy);
return
endif
%# partial clearing gone wrong ? retry
RHS = { RHS };
endif
x = builtin('subsasgn', x, S, RHS);
endfunction
dataframe/inst/@dataframe/private/df_mapper.m 0000600 0001750 0001750 00000002542 11713521330 022557 0 ustar carandraug carandraug function resu = df_mapper(func, df, varargin)
%# resu = df_mapper(func, df)
%# small interface to iterate some func over the elements of a dataframe.
%% Copyright (C) 2009-2012 Pascal Dupuis
%%
%% This file is part of Octave.
%%
%% Octave is free software; you can redistribute it and/or
%% modify it under the terms of the GNU General Public
%% License as published by the Free Software Foundation;
%% either version 2, or (at your option) any later version.
%%
%% Octave is distributed in the hope that it will be useful,
%% but WITHOUT ANY WARRANTY; without even the implied
%% warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR
%% PURPOSE. See the GNU General Public License for more
%% details.
%%
%% You should have received a copy of the GNU General Public
%% License along with Octave; see the file COPYING. If not,
%% write to the Free Software Foundation, 51 Franklin Street -
%% Fifth Floor, Boston, MA 02110-1301, USA.
%#
%# $Id: df_mapper.m 9585 2012-02-05 15:32:46Z cdemills $
%#
resu = df_allmeta(df);
resu._data = cellfun(@(x) feval(func, x, varargin{:}), df._data, \
"UniformOutput", false);
resu._rep = df._rep; %# things didn't change
resu._type = cellfun(@(x) class(x(1)), resu._data, "UniformOutput", false);
resu = df_thirddim(resu);
endfunction