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About the developer

taiyun
208 Stars 76 Forks MIT License 341 Commits 40 Opened issues

Description

Package corrplot is for visualizing a correlation matrix

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Summary

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:
r
library(corrplot)
citation("corrplot")

Basic example

library(corrplot)
M 

Basic example

Download and Install

To download the development version of the package, type the following at the R command line:

r
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:

r
install.packages("corrplot")

How to contribute

  • Fork, clone, edit, commit, push, create pull request
  • Use RStudio
  • Unit-testing: press
    CTRL+SHIFT+T
    in RStudio
    • 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

We use

lintr
which also performs the analysis on Travis-CI. Configuration for
lintr
is in
.lintr
file. Lints are treated as warnings, but we strive to be lint-free.

In RStudio, you can run

lintr
from the console as follows: ```r

lintr::lint_package() ```

Who do I talk to?

License

This package is free and open source software, licensed under MIT

Other links

  • Corrplot listed at OpenHub: https://www.openhub.net/p/corrplot
  • Research software impact of Corrplot (by Depsy): http://depsy.org/package/r/corrplot
  • CRAN: http://cran.r-project.org/web/packages/corrplot

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