Package: ggcorrplot 0.3.0.9000

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.

Authors:Alboukadel Kassambara [aut, cre], Indrajeet Patil [ctb]

ggcorrplot_0.3.0.9000.tar.gz
ggcorrplot_0.3.0.9000.zip(r-4.7-any)ggcorrplot_0.3.0.9000.zip(r-4.6-any)ggcorrplot_0.3.0.9000.zip(r-4.5-any)
ggcorrplot_0.3.0.9000.tgz(r-4.6-any)ggcorrplot_0.3.0.9000.tgz(r-4.5-any)
ggcorrplot_0.3.0.9000.tar.gz(r-4.7-any)ggcorrplot_0.3.0.9000.tar.gz(r-4.6-any)
ggcorrplot_0.3.0.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
ggcorrplot/json (API)

# Install 'ggcorrplot' in R:
install.packages('ggcorrplot', repos = c('https://kassambara.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/kassambara/ggcorrplot/issues

Pkgdown/docs site:https://rpkgs.datanovia.com

On CRAN:

Conda:

14.72 score 197 stars 26 packages 9.1k scripts 23k downloads 71 mentions 2 exports 23 dependencies

Last updated from:ee09c570fb. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK203
source / vignettesOK227
linux-releaseOK182
macos-releaseOK131
macos-oldrelOK187
windows-develOK117
windows-releaseOK117
windows-oldrelOK122
wasm-releaseOK119

Exports:cor_pmatggcorrplot

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglifecyclemagrittrplyrR6RColorBrewerRcppreshape2rlangS7scalesstringistringrvctrsviridisLitewithr

Introduction to ggcorrplot
The inputs: a correlation matrix and its p-values | Basic correlogram | Reorder by clustering | Layout: triangles and mixed glyphs | Add the coefficients | Mark statistical significance | Colors and theme | It is a ggplot: compose freely | Computing p-values with cor_pmat() | Session information
Rendered fromggcorrplot.Rmdusingknitr::rmarkdown

Last update: 2026-07-24
Started: 2026-07-09

Publication-ready correlation plots
The clustered correlogram | Lower triangle with coefficients | Marking significance | Circles for magnitude | Size-scaled squares | corrplot-style boxed cells | A colorblind-safe palette | A clean, edgeless heatmap | A rectangular predictor-by-outcome matrix | Going further: it is a ggplot | Session information
Rendered frompublication-ready-correlation-plots.Rmdusingknitr::rmarkdown

Last update: 2026-07-11
Started: 2026-07-09