The package offers a single exported function, namely ggheatmap, which takes a data frame, a matrix or a (named) list of matrices and generates a nice heatmap with ggplot2.

library(ggheatmap)

data(mtcars)
cor.mat = cor(mtcars)

# Basic heatmap
pl = ggheatmap::ggheatmap(cor.mat)

# Customized heatmap
pl = ggheatmap::ggheatmap(cor.mat, type = "lower.tri", show.diag = FALSE, show.values = TRUE, digits = 1L)

# Now we simulate two non-square matrices
x = matrix(runif(50L), ncol = 5L)
y = matrix(runif(50L), ncol = 5L)

pl = ggheatmap::ggheatmap(list(X = x, Y = y), range = c(0.1, 0.9), value.name = "Range")

The package will be available at CRAN soon. Install the release version via:

install.packages("ggheatmap")

If you are interested in trying out and playing around with the current github developer version use the devtools package and type the following command in R:

devtools::install_github("jakobbossek/ggheatmap")

Please address questions and missing features about the ggheatmap to the author Jakob Bossek [email protected]. Found some nasty bugs? Please use the issue tracker for this. Pay attention to explain the problem as good as possible. At its best you provide an example, so I can reproduce your problem quickly.