Port of the new 'matplotlib' color maps ('viridis' - the default -, 'magma', 'plasma' and 'inferno') to 'R'. 'matplotlib' <http://matplotlib.org/> is a popular plotting library for 'python'. These color maps are designed in such a way that they will analytically be perfectly perceptually-uniform, both in regular form and also when converted to black-and-white. They are also designed to be perceived by readers with the most common form of color blindness.
| Version: | 0.4.0 |
| Depends: | R (≥ 2.10), viridisLite (≥ 0.2.0) |
| Imports: | stats, ggplot2 (≥ 1.0.1), gridExtra |
| Suggests: | hexbin (≥ 1.27.0), scales, MASS, knitr, dichromat, colorspace, rasterVis, httr, mapproj, vdiffr, svglite (≥ 1.2.0), testthat, covr, rmarkdown |
| Published: | 2017-03-27 |
| Author: | Simon Garnier [aut, cre], Noam Ross [ctb, cph], Bob Rudis [ctb, cph] |
| Maintainer: | Simon Garnier <garnier at njit.edu> |
| BugReports: | https://github.com/sjmgarnier/viridis/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/sjmgarnier/viridis |
| NeedsCompilation: | no |
| Materials: | README |
| CRAN checks: | viridis results |
| Reference manual: | viridis.pdf |
| Vignettes: |
Intro to the viridis color palette |
| Package source: | viridis_0.4.0.tar.gz |
| Windows binaries: | r-devel: viridis_0.4.0.zip, r-release: viridis_0.4.0.zip, r-oldrel: viridis_0.4.0.zip |
| OS X El Capitan binaries: | r-release: viridis_0.4.0.tgz |
| OS X Mavericks binaries: | r-oldrel: viridis_0.4.0.tgz |
| Old sources: | viridis archive |
| Reverse depends: | heatmaply |
| Reverse imports: | BiBitR, BMhyb, CINNA, clustMD, dendextend, DiagrammeR, dissever, eemR, eesim, evaluator, ggraph, Hmisc, IMIFA, Infusion, leaflet, mptools, nandb, naniar, NLMR, noaastormevents, pdp, RcmdrPlugin.BiclustGUI, rwty, SAGA, shinyHeatmaply, SIBER, simmr, survivALL, tabularaster, tadaatoolbox, userfriendlyscience, VRPM |
| Reverse suggests: | autoimage, bigstatsr, cowplot, cytometree, eclust, getCRUCLdata, ggjoy, ggridges, grattan, httk, mlbgameday, pdSpecEst, platetools, powerlmm, prioritizrdata, ropenaq, spant, spbabel, stacomiR, stormwindmodel, sugrrants, themetagenomics |
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