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(math/R-gdata) Updated 3.0.0 to 3.0.1 Changes in 3.0.1 (2024-10-22) ----------------------------- Other changes: - Changed ll() so it checks that all elements of a list-like object are uniquely named.
(math/R-gdata) Updated 2.19.0 to 3.0.0 Changes in 3.0.0 (2023-10-09) ----------------------------- Other changes: - Removed installXLSXsupport(), read.xls(), sheetCount(), sheetNames(), xls2csv(), xls2tab(), xls2tsv(), xls2sep(), and xlsFormats(). See gdata 2.19.0 NEWS entry announcing their deprecation. - Added aliases n_obs(), object_size(), and starts_with(). Deprecated gdata::object.size().
(math/R-gdata) Updated 2.18.0 to 2.19.0, make test passed Changes in 2.19.0 (2023-05-06) ------------------------------ New functions: - Added update.data.frame() to replace rows of a data frame. New features: - Added argument 'add.col.nums' to left() and right(). Other changes: - Improved ll() so it handles S4 objects. Also accepts unit="GB" (contributed by Michael Chirico) and unit="B", now case-insensitive. - Improved right() so it returns the rightmost columns of a matrix or data frame. - Renamed first two arguments of startsWith() to 'x' and 'prefix'. - Removed elem() - was deprecated in gregmisc/gdata 2.0.3 (2005-02-25). - Excel file support is now deprecated, to be removed in the near future. At the user level, the functions installXLSXsupport(), read.xls(), sheetCount(), sheetNames(), xls2csv(), xls2sep(), xls2tab(), xls2tsv(), and xlsFormats() now raise a warning about the functionality being deprecated. Excel file support was first introduced in gregmisc/gdata 1.11.0 back in 2004, but today we have packages such as openxlsx, readxl, XLConnect, and xlsx offering dedicated Excel file support with more features. When Excel file support will be removed from the gdata package, it will result in lighter package maintenance and no more Perl warnings on the user side. - Package maintainer is Arni Magnusson.
math: Replace RMD160 checksums with BLAKE2s checksums All checksums have been double-checked against existing RMD160 and SHA512 hashes
math: Remove SHA1 hashes for distfiles
R-gdata: update to version 2.18.0. Update to the canonical form of an R package.
Add SHA512 digests for distfiles for math category Problems found locating distfiles: Package dfftpack: missing distfile dfftpack-20001209.tar.gz Package eispack: missing distfile eispack-20001130.tar.gz Package fftpack: missing distfile fftpack-20001130.tar.gz Package linpack: missing distfile linpack-20010510.tar.gz Package minpack: missing distfile minpack-20001130.tar.gz Package odepack: missing distfile odepack-20001130.tar.gz Package py-networkx: missing distfile networkx-1.10.tar.gz Package py-sympy: missing distfile sympy-0.7.6.1.tar.gz Package quadpack: missing distfile quadpack-20001130.tar.gz Otherwise, existing SHA1 digests verified and found to be the same on the machine holding the existing distfiles (morden). All existing SHA1 digests retained for now as an audit trail.
Update to gdata v2.8.2, add LICENSE and regularize package files.
Update to the latest version of the module along with R update
Update R-gdata to 2.4.2
CHANGES IN 2.4.2 (2008-05-11)
-----------------------------
- Enhancements and bug fixes for read.xls() and xls2csv():
- More informative log messages when verbose=TRUE
- File paths containing spaces or other non-traditional characters
are now properly handled
- Better error messages, particularly when perl fails to generate
an output .csv file.
- The 'shortcut' character "~" (meaning user's home directory) is
now properly handled in file paths.
- XLS files created by OpenOffice are now properly handled. Thanks to
Robert Burns for pointing out the patch
(http://rt.cpan.org/Public/Bug/Display.html?id=7206)
CHANGES IN 2.4.1 (2008-03-24)
-----------------------------
- Update perl libraries needed by xls2csv() and read.xls()
to latest available versions on CRAN.
- Add read.xls() to exported function list
- Correct iris.xls example file. It didn't contain the complete
& properly formatted iris data set. Fixed.
- Fix typo in win32 example for read.xls()
CHANGES IN 2.4.0 (2008-01-30)
-----------------------------
- The keep() function now includes an 'all' argument to specify how
objects with names starting with '.' are handled.
- keep() now shows an informative warning message when a requested
object does not exist
- New vignette "Mapping Levels of a Factor" describing the use of
mapLevels().
- New vignette "Working with Unknown Values" describing the use of
isUnknown() and unknownToNA().
- Several enhancements to read.xls() (thanks to Gabor Grothendieck):
- New function xls2csv(), which handles converting an xls file
to a csv file and returns a connection to the
temporary csv file
- xls2csv() and read.xls() both allow a file or a url to be specified
- read.xls() has a new 'pattern' argument which, if supplied,
will ignore everything prior to the first line in th csv file
that matches the pattern. This is typically used if there
are a variable number of comment lines prior to the header
in which case one can specify one of the column
headings as the pattern. read.xls should
be compatible with the old read.xls.
- Minor fixes to drop.levels(), is.what().
- Implementation of unit tests for most functions.
CHANGES IN 2.3.1 (2006-10-29)
-----------------------------
- Arguments as well as their position of reorder.factor have been changed
to conform with reorder.factor method in stats package, due to collision
bug. Argument 'make.ordered' is now 'order' and old argument 'order' is
now 'new.order'! Therefore, you have to implicitly specify new.order i.e.
reorder(trt, new.order=c("PLACEBO", "300 MG", "600 MG", "1200 MG"))
- trim() gains ... argument.
- Added "unknown" methods for matrices.
- Added c() method for factors based on mapLevels() functions.
- Added write.fwf, which writes file in *F*ixed *W*idth *F*ormat.
CHANGES FROM 2.1.X to 2.3.0 (2006-09-19)
---------------------------------------
- Added mapLevels(), which produces a map with information on levels and/or
internal integer codes. Contributed by Gregor Gorjanc.
- Extended dropLevels() to work on the factors contained in a data
frame, as well as individual factors.
- Add unknown(), which changes given unknown value to NA and vice
versa. Contributed by Gregor Gorjanc.
- Extended trim() to handle a variety of data types data.frames,
lists, factors, etc. Code changes contributed by Gregor Gorjanc.
- Added resample() command that acts like sample() except that it
_always_ samples from the arguments provided, even if only a single
argument is present. This differs from sample() which behaves
differently in this case.
- Updated my email address.
Initial import R-gdata 2.1.2 Various R programming tools for data manipulation
Initial revision