ggcorrheatmap
ggcorrheatmap is a convenient package for generating correlation heatmaps made with ggplot2, with support for triangular layouts, clustering and annotation. As the output is a ggplot2 object you can further customise the appearance using familiar ggplot2 functions. Besides correlation heatmaps, there is also support for making general heatmaps.
Installation
You can install ggcorrheatmap from CRAN using:
install.packages("ggcorrheatmap")Or you can install the development version from GitHub with:
# install.packages("devtools")
devtools::install_github("leod123/ggcorrheatmap")Example
Below is an example of how to generate a correlation heatmap with clustered rows and columns and row annotation, using a triangular layout that excludes redundant cells.
library(ggcorrheatmap)
set.seed(123)
# Make a correlation heatmap with a triangular layout, annotations and clustering
row_annot <- data.frame(.names = colnames(mtcars),
annot1 = sample(letters[1:3], ncol(mtcars), TRUE),
annot2 = rnorm(ncol(mtcars)))
ggcorrhm(mtcars, layout = "bottomright",
cluster_rows = TRUE, cluster_cols = TRUE,
show_dend_rows = FALSE, annot_rows_df = row_annot)Or a mixed layout that displays different things in the different triangles.
# With correlation values and p-values
ggcorrhm(mtcars, layout = c("topright", "bottomleft"),
cell_labels = c(FALSE, TRUE), p_values = c(FALSE, TRUE))It is also possible to make a normal heatmap, for a more flexible output.
gghm(scale(mtcars), cluster_rows = TRUE, cluster_cols = TRUE)More examples
There are many more options for customisation, covered in the different articles of the package: