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authorSebastien Fabbro <bicatali@gentoo.org>2008-01-16 16:26:19 +0000
committerSebastien Fabbro <bicatali@gentoo.org>2008-01-16 16:26:19 +0000
commit881c93f666578d4c46dad9d459804105edf05f2d (patch)
tree25ec43939d30889d0a07c8f8f190472aa99f7e9e /dev-lang/R/metadata.xml
parentstarting to rewrite the ebuild a bit. commiting masked so people can tinker (diff)
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Forced blas dependency (bug #176755), fixed documentation directory (bug #205103), more concise descriptions
(Portage version: 2.1.4)
Diffstat (limited to 'dev-lang/R/metadata.xml')
-rw-r--r--dev-lang/R/metadata.xml29
1 files changed, 13 insertions, 16 deletions
diff --git a/dev-lang/R/metadata.xml b/dev-lang/R/metadata.xml
index f33857fc542b..a403327c2c84 100644
--- a/dev-lang/R/metadata.xml
+++ b/dev-lang/R/metadata.xml
@@ -3,22 +3,19 @@
<pkgmetadata>
<herd>sci</herd>
<longdescription lang="en">
-R is a system for statistical computation and graphics. It consists of
-a language plus a run-time environment with graphics, a debugger,
-access to certain system functions, and the ability to run programs
-stored in script files.
+ R is GNU S, a system for statistical computation and graphics. It
+ consists of a language plus a run-time environment with graphics, a
+ debugger, access to certain system functions, and the ability to run
+ programs stored in script files.
-The core of R is an interpreted computer language which allows
-branching and looping as well as modular programming using functions.
-Most of the user-visible functions in R are written in R. It is
-possible for the user to interface to procedures written in the C,
-C++, or FORTRAN languages for efficiency. The R distribution contains
-functionality for a large number of statistical procedures. Among
-these are: linear and generalized linear models, nonlinear regression
-models, time series analysis, classical parametric and nonparametric
-tests, clustering and smoothing. There is also a large set of
-functions which provide a flexible graphical environment for creating
-various kinds of data presentations. Additional modules ("add-on
-packages") are available for a variety of specific purposes.
+ The core of R is an interpreted computer language which allows
+ branching and looping as well as modular programming using functions.
+ The R distribution contains functionality for a large number of
+ statistical procedures such as: linear and generalized linear
+ models, nonlinear regression models, time series analysis, classical
+ parametric and nonparametric tests, clustering, smoothing and
+ graphical data representations. Additional modules ("add-on
+ packages") are available for a variety of specific purposes but are
+ not distributed with this package.
</longdescription>
</pkgmetadata>