Graph using corrplot for multiple sets of data

Question

[rvsaras86]

I am using the corrplot package to create a graph for different sets of matrices. Is there anyway to merge all the graphs together into one using R?

[PoGibas]

Don't know what you mean by "merge graphs into one", but you can use multiplot function or gridExtra package (more on SO).

[rvsaras86]

Thanks. By merge, I mean plot the different sets of correlation matrices I have on the same graph with a color code identifying the different sets.

[PoGibas]

So you want to use color for correlation, but use different pallets for different sets in the same graph? I doubt that this is possible in corrplot.

[rvsaras86]

yes. Is there any other way of doing this,without using corrplot?

[PoGibas]

You can use ggplot to plot correlation matrix, but still have to use multiplot or gridExtra to merge multiple graphs.

Answer 1

[DareDevil]

You can try as follows:

library(corrplot)
data(mtcars)
M <- cor(mtcars)

col1 <- colorRampPalette(c("#7F0000","red","#FF7F00","yellow","white", "cyan", "#007FFF", "blue","#00007F"))

#this is my only addition
par(mfrow=c(2,2))

corrplot(M, method="color", col=col1(20), cl.length=21,order = "AOE", addCoef.col="grey")
corrplot(M, method="square", col=col1(200),order = "AOE")
corrplot(M, method="ellipse", col=col1(200),order = "AOE")
corrplot(M, method="shade", col=col1(20),order = "AOE")