repository·master·Indexed 43 days ago
https://github.com/taiyun/corrplotAn R package providing visual exploratory tools for correlation matrices. It features automatic variable reordering to detect hidden patterns and offers customization for layouts, colors, and statistical significance using p-values and confidence intervals.
You can install the stable release of corrplot from CRAN using the standard R install.packages command. If you need the development version with vignettes built, use devtools::install_github pointing to the taiyun/corrplot repository.
# Install the release version from CRAN
install.packages('corrplot')
# Install the development version from GitHub
devtools::install_github('taiyun/corrplot', build_vignettes = TRUE)To visualize a correlation matrix, use the corrplot() function. You can pass a correlation matrix (calculated via cor()) and use arguments like order to reorder variables (e.g., 'hclust' for hierarchical clustering) and addrect to add rectangles around groups of variables to highlight patterns.
library(corrplot)
M = cor(mtcars)
corrplot(M, order = 'hclust', addrect = 2)To obtain the correct citation for using corrplot in your research, use the R citation() function.
citation('corrplot')