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Status](https://www.r-pkg.org/badges/version/corrplot)](https://cran.r-project.org/package=corrplot)\n[![CRAN Downloads](https://cranlogs.r-pkg.org/badges/corrplot)](https://www.r-pkg.org/pkg/corrplot)\n\n## Summary\n\nR package **corrplot** provides a visual exploratory tool on correlation matrix that \nsupports automatic variable reordering to help detect hidden patterns among variables.\n\ncorrplot is very easy to use and provides a rich array of plotting options in \nvisualization method, graphic layout, color, legend, text labels, etc. \nIt also provides p-values and confidence intervals to help users determine the \nstatistical significance of the correlations.\n\nFor examples, see its\n[online vignette](https://taiyun.github.io/corrplot/).\n\n\nThis package is licensed under the MIT license, and available on CRAN:\n\u003chttps://cran.r-project.org/package=corrplot\u003e.\n\n\n\n## Basic example\n\n```r\nlibrary(corrplot)\nM = cor(mtcars)\ncorrplot(M, order = 'hclust', addrect = 2)\n```\n![Basic example](https://raw.githubusercontent.com/taiyun/corrplot/master/vignettes/webimg/rectangles-1.png)\n\n## Download and Install\n\nTo download the release version of the package on CRAN, type the following at the R command line:\n\n```r\ninstall.packages('corrplot')\n```\n\nTo download the development version of the package, type the following at the R command line:\n\n```r\ndevtools::install_github('taiyun/corrplot', build_vignettes = TRUE)\n```\n\n## How to cite\n\nTo cite `corrplot` properly, call the R built-in command\n`citation('corrplot')` as follows:\n\n```r\ncitation('corrplot')\n```\n\n## Reporting bugs and other issues\n\nIf you encounter a clear bug, please file a minimal reproducible example on \n[github](https://github.com/taiyun/corrplot/issues).\n\n","funding_links":[],"categories":["Graphic Displays","Table of 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