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().
Version: | 0.51.0 |
Depends: | R (≥ 2.12.0) |
Suggests: | base64enc, ggplot2, knitr, microbenchmark, R.devices, R.rsp |
Published: | 2016-10-09 |
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_0.51.0.tar.gz |
Windows binaries: | r-devel: matrixStats_0.51.0.zip, r-release: matrixStats_0.51.0.zip, r-oldrel: matrixStats_0.51.0.zip |
OS X Mavericks binaries: | r-release: matrixStats_0.51.0.tgz, r-oldrel: matrixStats_0.51.0.tgz |
Old sources: | matrixStats archive |
Reverse depends: | aSPU, DAMOCLES, FastHCS, FastPCS, FastRCS, GAD, InfiniumPurify, localgauss, LS2Wstat, NSA, r2dRue, RAC, samr, ttScreening, visualFields |
Reverse imports: | ACNE, aroma.affymetrix, aroma.cn, aroma.core, bdynsys, bingat, brms, calmate, carx, cellWise, cointmonitoR, cointReg, DGCA, dplR, FADA, filesstrings, fslr, GPrank, haploReconstruct, IMIFA, kernDeepStackNet, loo, ltmle, Luminescence, MFHD, mmtfa, mrfDepth, neurobase, peakPick, PSCBS, randomizationInference, SemiParBIVProbit, SemiParSampleSel, SGP, sizeMat, statar, stm, summarytools, WGCNA |
Reverse suggests: | LSAmitR, MetaQC, MPAgenomics, MultiBD, tmlenet |
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