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 weightedMedians().
Version: | 0.50.1 |
Depends: | R (≥ 2.12.0) |
Imports: | methods |
Suggests: | base64enc, ggplot2, knitr, microbenchmark, R.devices, R.rsp |
Published: | 2015-12-15 |
Author: | Henrik Bengtsson [aut, cre, cph], Hector Corrada Bravo [ctb], Robert Gentleman [ctb], Ola Hossjer [ctb], Harris Jaffee [ctb], Dongcan Jiang [ctb], Peter Langfelder [ctb] |
Maintainer: | Henrik Bengtsson <henrikb at braju.com> |
BugReports: | https://github.com/HenrikBengtsson/matrixStats/issues |
License: | Artistic-2.0 |
URL: | https://github.com/HenrikBengtsson/matrixStats |
NeedsCompilation: | yes |
Materials: | NEWS |
CRAN checks: | matrixStats results |
Reference manual: | matrixStats.pdf |
Vignettes: |
matrixStats: Summary of functions |
Package source: | matrixStats_0.50.1.tar.gz |
Windows binaries: | r-devel: matrixStats_0.50.1.zip, r-release: matrixStats_0.50.1.zip, r-oldrel: matrixStats_0.50.1.zip |
OS X Snow Leopard binaries: | r-release: matrixStats_0.50.1.tgz, r-oldrel: matrixStats_0.14.0.tgz |
OS X Mavericks binaries: | r-release: matrixStats_0.50.1.tgz |
Old sources: | matrixStats archive |
Reverse depends: | aSPU, DAMOCLES, FastHCS, FastPCS, FastRCS, GAD, localgauss, LS2Wstat, NSA, r2dRue, samr, ttScreening, visualFields |
Reverse imports: | ACNE, aroma.affymetrix, aroma.cn, aroma.core, bdynsys, bingat, bnclassify, calmate, dplR, fslr, loo, Luminescence, MFHD, mmtfa, peakPick, PSCBS, randomizationInference, SGP, statar, stm, WGCNA |
Reverse suggests: | MetaQC, MPAgenomics, tmlenet |