The canonical form [1] of an R package Makefile includes the
following:
- The first stanza includes R_PKGNAME, R_PKGVER, PKGREVISION (as
needed), and CATEGORIES.
- HOMEPAGE is not present but defined in math/R/Makefile.extension to
refer to the CRAN web page describing the package. Other relevant
web pages are often linked from there via the URL field.
This updates all current R packages to this form, which will make
regular updates _much_ easier, especially using pkgtools/R2pkg.
[1] http://mail-index.netbsd.org/tech-pkg/2019/08/02/msg021711.html
Each R package should include ../../math/R/Makefile.extension, which also
defines MASTER_SITES. Consequently, it is redundant for the individual
packages to do the same. Package-specific definitions also prevent
redefining MASTER_SITES in a single common place.
Do it for all packages that
* mention perl, or
* have a directory name starting with p5-*, or
* depend on a package starting with p5-
like last time, for 5.18, where this didn't lead to complaints.
Let me know if you have any this time.
a) refer 'perl' in their Makefile, or
b) have a directory name of p5-*, or
c) have any dependency on any p5-* package
Like last time, where this caused no complaints.
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.
