pkgsrc - [no description]

Age	Commit message (Collapse)	Author	Files	Lines
2019-08-08	Update all R packages to canonical form.	brook	1	-6/+4
	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
2019-07-31	R-RArcInfo: update to canonical form of an R package.	brook	1	-5/+6
	Update to the canonical form of an R package and fix the LICENSE field.
2018-07-28	Remove MASTER_SITES= from individual R package Makefiles.	brook	1	-2/+1
	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.
2012-04-15	Update to RArcInfo v0.4-12, added LICENSE and regularized package files.	brook	1	-8/+11

2008-10-13	Update R-RArcInfo to 0.4.7	markd	1	-4/+3
	Changes Unknown
2007-02-22	Whitespace cleanup, courtesy of pkglint.	wiz	1	-7/+7
	Patch provided by Sergey Svishchev in private mail.
2006-02-05	Recursive revision bump / recommended bump for gettext ABI change.	joerg	1	-1/+2

2005-11-04	Imported R-RArcInfo from pkgsrc-wip.	rillig	1	-0/+15
	RArcInfo is a package for the R statistical program to import Arc/Info V7.x binary coverages. It is based on the library Avcelib written by Daniel Morissette. Currently, RArcInfo supports most of the file formats stored by these type of coverages. The geographical information (arcs, polygons, topological relationships, etc.) are stored using lists, but all the tables containing related information are imported into a data frame. Once the desired data are imported, the user can draw maps, even filling the polygons according to the value of a given covariate. Although R is not designed for heavy G.I.S. work, this package is very helpful to work with binary coverages inside R.