The R package corrplot is for visualizing correlation matrices and confidence intervals. It also contains some algorithms to do matrix reordering. For examples, see its vignette.
This package is licensed under GPL, and available on CRAN: http://cran.r-project.org/package=corrplot.
How to cite
The R core development team and the very active community of package authors
have invested a lot of time and effort in creating R as it is today. Please give
credit where credit is due and cite R and R packages when you use them for data
analysis. To cite
corrplot properly, call the R built-in command
citation("corrplot") as follows:
library(corrplot) M <- cor(mtcars) corrplot(M, order = "hclust", addrect = 2)
Download and Install
To download the development version of the package, type the following at the R command line:
install.packages("devtools") devtools::install_github("taiyun/corrplot", build_vignettes = TRUE)
To download the release version of the package on CRAN, type the following at the R command line:
How to contribute
- Fork, clone, edit, commit, push, create pull request
- Use RStudio
- Unit-testing: press
- we know that is hard to write tests especially for a visual package like this
Reporting bugs and other issues
If you encounter a clear bug, please file a minimal reproducible example on github.
How to perform static code analysis and style checks
lintr which also performs the analysis on Travis-CI.
lintr is in
Lints are treated as warnings, but we strive to be lint-free.
In RStudio, you can run
lintr from the console as follows:
Who do I talk to?
This package is free and open source software, licensed under MIT