Originally posted by ECO
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A handy guide to picking colors to work in gray scale
For many cases in facilitating the further use of published data presented in color, here is a technique for making your color choices so they live on in black and white 2nd gen copy.
See illustration:
"To pick colors easily discernible from each other, whether in color or converted to grayscale, spiral through the color wheel."
Bang Wong Nature Methods 7:573 (2010)
doi: 10.1038/nmeth0810-573
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R heatmap.2
I am a big fan of heatmap.2 in R that you can download from CRAN gplots.
heatmap.2(as.matrix(your data),col =
colorRampPalette(c("white","green","green4","violet","purple"))(100))
This color code is also color blind friendly.
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You can use RColorBrewer... there's a number of pre-made palettes, one of which is called RdBu and goes from Red to White to Blue.
hmcol<-brewer.pal(11,"RdBu")
heatmap(data,col=hmcol)
You can also use something like
hmcols<-colorRampPalette(c("red","white","blue"))(256)
to get more creative with your colors.
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R: heatmap color palette
Hello,
I am using R to get the correlation matrix for some gene expression data. I have the correlation matrix, and I want to use a heatmap to visualize it.
I would like to use a different color palette than the default from the heatmap, something ranging from blue to red, what is the easiest way to do this?
Thanks in advance.Tags: None
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