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Collection of functions and layers to enhance 'ggplot2'. The flagship function is 'ggMarginal()', which can be used to add marginal histograms/boxplots/density plots to 'ggplot2' scatterplots.
Version: | 0.10.1 |
Depends: | R (≥ 3.1.0) |
Imports: | colourpicker (≥ 1.0), ggplot2 (≥ 2.2.0), grDevices, grid (≥ 3.1.3), gtable (≥ 0.2.0), miniUI (≥ 0.1.1), scales (≥ 0.2.0), shiny (≥ 0.13.0), shinyjs (≥ 0.5.2), utils, R6 |
Suggests: | knitr (≥ 1.7), rmarkdown, rstudioapi (≥ 0.5), testthat, vdiffr, fontquiver, svglite, withr, devtools |
Published: | 2023-08-21 |
DOI: | 10.32614/CRAN.package.ggExtra |
Author: | Dean Attali [aut, cre], Christopher Baker [aut] |
Maintainer: | Dean Attali <daattali at gmail.com> |
BugReports: | https://github.com/daattali/ggExtra/issues |
License: | MIT + file LICENSE |
URL: | https://github.com/daattali/ggExtra, https://daattali.com/shiny/ggExtra-ggMarginal-demo/ |
NeedsCompilation: | no |
SystemRequirements: | pandoc with https support |
Materials: | README NEWS |
CRAN checks: | ggExtra results |
Reference manual: | ggExtra.pdf |
Vignettes: |
Package ggExtra |
Package source: | ggExtra_0.10.1.tar.gz |
Windows binaries: | r-devel: ggExtra_0.10.1.zip, r-release: ggExtra_0.10.1.zip, r-oldrel: ggExtra_0.10.1.zip |
macOS binaries: | r-release (arm64): ggExtra_0.10.1.tgz, r-oldrel (arm64): ggExtra_0.10.1.tgz, r-release (x86_64): ggExtra_0.10.1.tgz, r-oldrel (x86_64): ggExtra_0.10.1.tgz |
Old sources: | ggExtra archive |
Reverse imports: | bamdit, BASiCS, bayefdr, calibmsm, covalchemy, dextergui, DiscoRhythm, jarbes, MSstatsQC, MSstatsQCgui, ofpetrial, qacBase, qad, reliabilitydiag, ribosomeProfilingQC, SCVA, SHAPforxgboost, SHELF, spotoroo, viscomp |
Reverse suggests: | BlandAltmanLeh, ClustImpute, DataVisualizations, ddpcr, heumilkr, inferCSN, PPtreeregViz, relliptical, rmcorr, ScatterDensity, SCpubr, sensitivity, shidashi, simaerep, Sofi, teal.modules.general |
Please use the canonical form https://CRAN.R-project.org/package=ggExtra to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.