ggcorrplot: Visualization of a Correlation Matrix using 'ggplot2'

The 'ggcorrplot' package can be used to visualize easily a correlation matrix using 'ggplot2'. It provides a solution for reordering the correlation matrix and displays the significance level on the plot. It also includes a function for computing a matrix of correlation p-values.

Version: 0.1.3
Depends: ggplot2
Imports: reshape2, stats
Suggests: knitr, spelling
Published: 2019-05-19
Author: Alboukadel Kassambara [aut, cre]
Maintainer: Alboukadel Kassambara <alboukadel.kassambara at gmail.com>
BugReports: https://github.com/kassambara/ggcorrplot/issues
License: GPL-2
URL: http://www.sthda.com/english/wiki/ggcorrplot
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: ggcorrplot results

Documentation:

Reference manual: ggcorrplot.pdf

Downloads:

Package source: ggcorrplot_0.1.3.tar.gz
Windows binaries: r-devel: ggcorrplot_0.1.3.zip, r-release: ggcorrplot_0.1.3.zip, r-oldrel: ggcorrplot_0.1.3.zip
macOS binaries: r-release (arm64): ggcorrplot_0.1.3.tgz, r-oldrel (arm64): ggcorrplot_0.1.3.tgz, r-release (x86_64): ggcorrplot_0.1.3.tgz, r-oldrel (x86_64): ggcorrplot_0.1.3.tgz
Old sources: ggcorrplot archive

Reverse dependencies:

Reverse imports: abseqR, CIMICE, corx, cspp, EvaluateCore, itraxR, POMA, qacBase
Reverse suggests: correlation, epca, ggstatsplot, partition, sdmApp, sigminer

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ggcorrplot to link to this page.