The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

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: 0.1.4.1
Depends: R (≥ 3.3), ggplot2 (≥ 3.3.6)
Imports: reshape2, stats
Suggests: testthat (≥ 3.0.0), knitr, spelling, vdiffr (≥ 1.0.0)
Published: 2023-09-05
DOI: 10.32614/CRAN.package.ggcorrplot
Author: Alboukadel Kassambara [aut, cre], Indrajeet Patil ORCID iD [ctb] (@patilindrajeets)
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-visualization-of-a-correlation-matrix-using-ggplot2
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: ggcorrplot results

Documentation:

Reference manual: ggcorrplot.pdf

Downloads:

Package source: ggcorrplot_0.1.4.1.tar.gz
Windows binaries: r-devel: ggcorrplot_0.1.4.1.zip, r-release: ggcorrplot_0.1.4.1.zip, r-oldrel: ggcorrplot_0.1.4.1.zip
macOS binaries: r-release (arm64): ggcorrplot_0.1.4.1.tgz, r-oldrel (arm64): ggcorrplot_0.1.4.1.tgz, r-release (x86_64): ggcorrplot_0.1.4.1.tgz, r-oldrel (x86_64): ggcorrplot_0.1.4.1.tgz
Old sources: ggcorrplot archive

Reverse dependencies:

Reverse imports: abseqR, ammistability, CIMICE, corx, cspp, EQUALSTATS, EvaluateCore, ggstatsplot, itraxR, MantaID, modgo, POMA, qacBase, SqueakR, StepReg, tidyCDISC, tRigon, visvaR
Reverse suggests: epca, FAfA, partition, sigminer, simdata, SPOTlight

Linking:

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