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: | 0.53.1 |
| Depends: | R (≥ 2.12.0) |
| Suggests: | base64enc, ggplot2, knitr, microbenchmark, R.devices, R.rsp |
| Published: | 2018-02-11 |
| 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], Peter Hickey [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_0.53.1.tar.gz |
| Windows binaries: | r-devel: matrixStats_0.53.1.zip, r-release: matrixStats_0.53.1.zip, r-oldrel: matrixStats_0.53.1.zip |
| OS X El Capitan binaries: | r-release: matrixStats_0.53.1.tgz |
| OS X Mavericks binaries: | r-oldrel: matrixStats_0.52.2.tgz |
| Old sources: | matrixStats archive |
| Reverse depends: | aSPU, BayesTwin, cosinor2, DAMOCLES, DisHet, FastHCS, FastPCS, FastRCS, GAD, GUniFrac, InfiniumPurify, localgauss, LS2Wstat, NSA, POMaSPU, r2dRue, RAC, samr, StructFDR, ttScreening, visualFields |
| Reverse imports: | abcrf, ACNE, adjclust, aroma.affymetrix, aroma.cn, aroma.core, bdynsys, bigstep, bingat, bmrm, bnclassify, brms, calmate, carx, cellWise, childhoodmortality, cointmonitoR, cointReg, CpGFilter, DGCA, dplR, estudy2, expss, FADA, fergm, filesstrings, fslr, GJRM, GPrank, haploReconstruct, IMIFA, jointseg, kernDeepStackNet, kgschart, kpmt, LFDREmpiricalBayes, loo, ltmle, Luminescence, MFHD, mixOmics, mmtfa, MoEClust, mrfDepth, NetLogoR, neurobase, peakPick, PSCBS, randomizationInference, RTransProb, SemiParSampleSel, SGP, sizeMat, stability, stapler, statar, stm, summarytools, WGCNA |
| Reverse suggests: | cifti, DatabionicSwarm, dtree, GeneralizedUmatrix, LSAmitR, MetaQC, MultiBD, tmlenet |
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