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author | Glenn Johnson <glenn-johnson@uiowa.edu> | 2021-01-16 08:16:35 -0600 |
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committer | GitHub <noreply@github.com> | 2021-01-16 15:16:35 +0100 |
commit | 7c5ea8d3b458c28396d74e126329117862b367e1 (patch) | |
tree | 23c6cd58fd7e8f8a666a467b3b97a96fc8eabcf3 | |
parent | 47a4727ac54950548b03fa2db0859eedf21f796c (diff) | |
download | spack-7c5ea8d3b458c28396d74e126329117862b367e1.tar.gz spack-7c5ea8d3b458c28396d74e126329117862b367e1.tar.bz2 spack-7c5ea8d3b458c28396d74e126329117862b367e1.tar.xz spack-7c5ea8d3b458c28396d74e126329117862b367e1.zip |
add version 2.4 to r-factominer (#20943)
-rw-r--r-- | var/spack/repos/builtin/packages/r-factominer/package.py | 16 |
1 files changed, 15 insertions, 1 deletions
diff --git a/var/spack/repos/builtin/packages/r-factominer/package.py b/var/spack/repos/builtin/packages/r-factominer/package.py index a1071fcddf..4ec3de8676 100644 --- a/var/spack/repos/builtin/packages/r-factominer/package.py +++ b/var/spack/repos/builtin/packages/r-factominer/package.py @@ -7,12 +7,22 @@ from spack import * class RFactominer(RPackage): - """FactoMineR: Multivariate Exploratory Data Analysis and Data Mining""" + """Multivariate Exploratory Data Analysis and Data Mining + + Exploratory data analysis methods to summarize, visualize and describe + datasets. The main principal component methods are available, those with + the largest potential in terms of applications: principal component + analysis (PCA) when variables are quantitative, correspondence analysis + (CA) and multiple correspondence analysis (MCA) when variables are + categorical, Multiple Factor Analysis when variables are structured in + groups, etc. and hierarchical cluster analysis. F. Husson, S. Le and J. + Pages (2017).""" homepage = "http://factominer.free.fr" url = "https://cloud.r-project.org/src/contrib/FactoMineR_1.35.tar.gz" list_url = "https://cloud.r-project.org/src/contrib/Archive/FactoMineR" + version('2.4', sha256='b9e3adce9a66b4daccc85fa67cb0769d6be230beeb126921b386ccde5db2e851') version('1.42', sha256='4cd9efb3681767c3bd48ddc3504ebead1493fcbbc0a9f759a00955b16c3481fa') version('1.41', sha256='a9889d69e298b8a01e8d0a5a54260730e742c95681e367d759829aad9a8740c0') version('1.40', sha256='68cb778fe7581b55666a5ae4aa7a5e7fa3ecbd133ae8cff1b2371a737b6d95e8') @@ -22,11 +32,15 @@ class RFactominer(RPackage): version('1.35', sha256='afe176fe561d1d16c5965ecb2b80ec90a56d0fbcd75c43ec8025a401a5b715a9') depends_on('r@3.0.0:', type=('build', 'run')) + depends_on('r@3.5.0:', when='@2.4:', type=('build', 'run')) depends_on('r-car', type=('build', 'run')) depends_on('r-cluster', type=('build', 'run')) + depends_on('r-dt', when='@2.4:', type=('build', 'run')) depends_on('r-ellipse', type=('build', 'run')) depends_on('r-flashclust', type=('build', 'run')) depends_on('r-lattice', type=('build', 'run')) depends_on('r-leaps', type=('build', 'run')) depends_on('r-mass', type=('build', 'run')) depends_on('r-scatterplot3d', type=('build', 'run')) + depends_on('r-ggplot2', when='@2.4:', type=('build', 'run')) + depends_on('r-ggrepel', when='@2.4:', type=('build', 'run')) |