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Updating from trunk. I resolved simple conflicts.

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svn path=/nixpkgs/branches/stdenv-updates/; revision=25061
This commit is contained in:
Lluís Batlle i Rossell
2010-12-11 12:47:00 +00:00
parent 3f1a32c266 97d4a54698
commit ee04ffcb55
106 changed files with 2507 additions and 484 deletions
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33
pkgs/development/interpreters/r-lang/default.nix
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@@ -1,30 +1,37 @@
{stdenv, fetchurl, readline, perl, gfortran, libX11, libpng, libXt, zlib,
withBioconductor ? false
{ stdenv, fetchurl, readline, perl, gfortran, libX11, libpng, libXt, zlib
, withBioconductor ? false
}:
stdenv.mkDerivation {
name = "r-lang";
version = "2.7.0";
version = "2.12.0";
src = fetchurl {
url = http://cran.r-project.org/src/base/R-2/R-2.7.0.tar.gz;
sha256 = "17ql1j5d9rfpxs04j9v9qyxiysc9nh6yr43lgfdamayzjpia5jqm";
url = http://cran.r-project.org/src/base/R-2/R-2.12.0.tar.gz;
sha256 = "93d72d845b01c6cd00e58f04b5e78fd6c83de96a8620505ad2a016772af02179";
};
bioconductor = if withBioconductor then import ../development/libraries/science/biology/bioconductor { inherit fetchurl stdenv readline; } else null;
postUnpack = ''
gunzip R-2.12.0/src/library/Recommended/Matrix_0.999375-44.tar.gz
tar --file=R-2.12.0/src/library/Recommended/Matrix_0.999375-44.tar --delete Matrix/src/dummy.cpp
gzip R-2.12.0/src/library/Recommended/Matrix_0.999375-44.tar
'';
buildInputs = [readline perl gfortran libpng libX11 libXt zlib];
configureFlags = ["--enable-R-shlib"] ;
meta = {
description = "R is a language and environment for statistical computing and graphics";
longDescription = ''R is a language and environment for statistical computin
g and graphics. It is a GNU project which is similar to the S language. R provid
es a wide variety of statistical (linear and nonlinear modelling, classical stat
istical tests, time-series analysis, classification, clustering, ...) and graphi
cal techniques, and is highly extensible.'';
license = "GPL2";
homepage = http://www.r-project.org/;
longDescription = ''
R is a language and environment for statistical computing and
graphics. It is a GNU project which is similar to the S language.
R provides a wide variety of statistical (linear and nonlinear
modelling, classical statistical tests, time-series analysis,
classification, clustering, ...) and graphical techniques, and is
highly extensible.
'';
};
}