Often you want to set the fixed colors for particular range of your dataset to be sure that the visual output is correctly represented. This is particularly useful for time series data, where the range or your dataset might drastically change during the course of the simulation.

To do that in R, we need to set the “breaks” parameter in plotting functions such as *image* or *heatmap.2*.

# gplots contains the heatmap.2 function
library(gplots)
# create 50x10 matrix of random values from [-1, +1]
random.matrix <- matrix(runif(500, min = -1, max = 1), nrow = 50)
# following code limits the lowest and highest color to 5%, and 95% of your range, respectively
quantile.range <- quantile(random.matrix, probs = seq(0, 1, 0.01))
palette.breaks <- seq(quantile.range["5%"], quantile.range["95%"], 0.1)
# use http://colorbrewer2.org/ to find optimal divergent color palette (or set own)
color.palette <- colorRampPalette(c("#FC8D59", "#FFFFBF", "#91CF60"))(length(palette.breaks) - 1)
heatmap.2(
random.matrix,
dendrogram = "row",
scale = "none",
trace = "none",
key = FALSE,
labRow = NA,
labCol = NA,
col = color.palette,
breaks = palette.breaks
)

Enjoy plotting! mintgene

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Thank you! I had been looking just for that for quite a while.

Would there be a way to add a gradient colorbar with corresponding numerical values as a key?

Usually I plot the gradient bar separate from the data plot. There might be more elegant way to get around this, but with the usage of image editing the outcome is very similar.

Here’s the code I use:

Woh I am happy to find this website.

Thanks for your work! Very much appreciated!

Appreciate your effort to create such a nice blog. Very nice and interesting content.