A graphical display of a correlation matrix or general matrix. It also contains some algorithms to do matrix reordering. In addition, corrplot is good at details, including choosing color, text labels, color labels, layout, etc.
Version: | 0.84 |
Suggests: | knitr, RColorBrewer, testthat |
Published: | 2017-10-16 |
Author: | Taiyun Wei [cre, aut], Viliam Simko [aut], Michael Levy [ctb], Yihui Xie [ctb], Yan Jin [ctb], Jeff Zemla [ctb] |
Maintainer: | Taiyun Wei <weitaiyun at gmail.com> |
BugReports: | https://github.com/taiyun/corrplot/issues |
License: | GPL-2 | GPL-3 [expanded from: GPL] |
URL: | https://github.com/taiyun/corrplot |
NeedsCompilation: | no |
Citation: | corrplot citation info |
Materials: | NEWS |
CRAN checks: | corrplot results |
Reference manual: | corrplot.pdf |
Vignettes: |
An Introduction to the corrplot package |
Package source: | corrplot_0.84.tar.gz |
Windows binaries: | r-devel: corrplot_0.84.zip, r-release: corrplot_0.84.zip, r-oldrel: corrplot_0.84.zip |
macOS binaries: | r-release: corrplot_0.84.tgz, r-oldrel: corrplot_0.84.tgz |
Old sources: | corrplot archive |
Reverse depends: | abcdeFBA, FEM, twl |
Reverse imports: | ALPS, artMS, aslib, BasketballAnalyzeR, bigtime, bioOED, BNSP, CHETAH, ChIPSeqSpike, CINNA, cogena, coMET, coseq, DaMiRseq, ddsPLS, dlookr, dynRB, echarts4r, esATAC, evaluomeR, ExPanDaR, fabMix, factorstochvol, fdcov, frechet, GmAMisc, GoodmanKruskal, jSDM, ldsep, metaseqR, metaseqR2, miceRanger, missSBM, mixKernel, ModelMap, MOFA, NADfinder, NetworkToolbox, OMICsPCA, PhenStat, PLNmodels, polyPK, predictoR, proBatch, RclusTool, regressoR, rexposome, RNASeqR, rstatix, RUVcorr, scRNAtools, ShinyItemAnalysis, shinyr, SIAMCAT, SLEMI, TestDimorph, uHMM, veccompare, YAPSA |
Reverse suggests: | analysisPipelines, boral, candisc, ClustImpute, colourvision, dendextend, eechidna, gllvm, Hmsc, HTLR, iasva, kergp, knitrBootstrap, mashr, rattle, RforProteomics, SNPhood, spectralGraphTopology, textreg, ViSEAGO |
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