Commit graph

8 commits

Author SHA1 Message Date
brook
93e94bec97 Update all R packages to canonical form.
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
2019-08-08 19:53:36 +00:00
brook
4629e04430 R-RArcInfo: update to canonical form of an R package.
Update to the canonical form of an R package and fix the LICENSE
field.
2019-07-31 18:21:25 +00:00
brook
d1d2bdf864 Remove MASTER_SITES= from individual R package Makefiles.
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.
2018-07-28 14:40:42 +00:00
brook
cbcc1ee6aa Update to RArcInfo v0.4-12, added LICENSE and regularized package files. 2012-04-15 16:57:19 +00:00
markd
bbeebe2dbf Update R-RArcInfo to 0.4.7
Changes Unknown
2008-10-13 11:29:42 +00:00
wiz
601583c320 Whitespace cleanup, courtesy of pkglint.
Patch provided by Sergey Svishchev in private mail.
2007-02-22 19:26:05 +00:00
joerg
5911def816 Recursive revision bump / recommended bump for gettext ABI change. 2006-02-05 23:08:03 +00:00
rillig
9d5b65bfa5 Imported R-RArcInfo from pkgsrc-wip.
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.
2005-11-04 08:09:31 +00:00