Every time I create charts for visualisation I have a problem choosing appropriate colors for the data. Ever since I started to use ggplot2
the problem went away as ggplot2
tries best to choose appropriate color, and has a wide range of available color themes.
Unfortunately you can’t use ggplot2
all the time, e.g. when you want to plot a dendrogram or use another platform than R. While looking for a way to color my dendrogram with the color choices from ggplot2
, I discovered the scales
package. scales
can be easily used to get the colors from ggplot2
, determine breaks for axes or labels.
The following codes plots the colors, with brewer_pal()
returning a vector of the requested colors and show_col()
plots them.
Diverging colors to express similarity in the middle but extreme cases at the beginning and the end:
library('scales')
show_col(brewer_pal('div')(6))
Qualitative pattern to distinguish between different classes:
show_col(brewer_pal('qual')(6))
and last but not least, a sequential color palette to express progressing data:
show_col(brewer_pal('seq')(6))