heatmap with values (ggplot2)

This has been updated to conform to tidyverse principles and improve poor use of ggplot2

Per SlowLeraner's comment I was easily able to do this:

library(tidyverse)

## make data
dat <- matrix(rnorm(100, 3, 1), ncol=10)

## reshape data (tidy/tall form)
dat2 <- dat %>%
    tbl_df() %>%
    rownames_to_column('Var1') %>%
    gather(Var2, value, -Var1) %>%
    mutate(
        Var1 = factor(Var1, levels=1:10),
        Var2 = factor(gsub("V", "", Var2), levels=1:10)
    )

## plot data
ggplot(dat2, aes(Var1, Var2)) +
    geom_tile(aes(fill = value)) + 
    geom_text(aes(label = round(value, 1))) +
    scale_fill_gradient(low = "white", high = "red") 

There is another simpler way to make heatmaps with values. You can use pheatmap to do this.

dat <- matrix(rnorm(100, 3, 1), ncol=10)
names(dat) <- paste("X", 1:10)
install.packages('pheatmap') # if not installed already
library(pheatmap)
pheatmap(dat, display_numbers = T)

This will give you a plot like this

If you want to remove clustering and use your color scheme you can do

pheatmap(dat, display_numbers = T, color = colorRampPalette(c('white','red'))(100), cluster_rows = F, cluster_cols = F, fontsize_number = 15)

You can also change the fontsize, format, and color of the displayed numbers.