From 8abe261359ff7566a1aeb386437bd94080e59ccc Mon Sep 17 00:00:00 2001 From: Glenn Johnson Date: Sun, 17 Jan 2021 11:25:09 -0600 Subject: [PATCH] add version 0.57.0 to r-matrixstats (#21091) --- .../builtin/packages/r-matrixstats/package.py | 14 ++++++++------ 1 file changed, 8 insertions(+), 6 deletions(-) diff --git a/var/spack/repos/builtin/packages/r-matrixstats/package.py b/var/spack/repos/builtin/packages/r-matrixstats/package.py index 2e644dc37b..4430c2d08e 100644 --- a/var/spack/repos/builtin/packages/r-matrixstats/package.py +++ b/var/spack/repos/builtin/packages/r-matrixstats/package.py @@ -7,17 +7,19 @@ class RMatrixstats(RPackage): - """High-performing functions operating on rows and columns of matrices, - e.g. col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions - optimized per data type and for subsetted calculations such that both - memory usage and processing time is minimized. There are also optimized - vector-based methods, e.g. binMeans(), madDiff() and - weightedMedian().""" + """Functions that Apply to Rows and Columns of Matrices (and to Vectors) + + High-performing functions operating on rows and columns of matrices, e.g. + col / rowMedians(), col / rowRanks(), and col / rowSds(). Functions + optimized per data type and for subsetted calculations such that both + memory usage and processing time is minimized. There are also optimized + vector-based methods, e.g. binMeans(), madDiff() and weightedMedian().""" homepage = "https://cloud.r-project.org/package=matrixStats" url = "https://cloud.r-project.org/src/contrib/matrixStats_0.52.2.tar.gz" list_url = "https://cloud.r-project.org/src/contrib/Archive/matrixStats" + version('0.57.0', sha256='f9681887cd3b121762c83f55f189cae26cb8443efce91fcd212ac714fde9f343') version('0.55.0', sha256='16d6bd90eee4cee8df4c15687de0f9b72730c03e56603c2998007d4533e8db19') version('0.54.0', sha256='8f0db4e181300a208b9aedbebfdf522a2626e6675d2662656efb8ba71b05a06f') version('0.52.2', sha256='39da6aa6b109f89a141dab8913d981abc4fbd3f8be9e206f92e382cc5270d2a5')