On 07/22/2011 01:42 AM, Youcheng Lin wrote:
Hello, everyone.
I am trying to show the correlation matrix using
color2D.matplot(). And I want to map (0,1) to (dark red to dark green).
But by default color2D.matplot() will map(min element of given matrix,
max element of given matrix) to (dark red to dark green).
Hi Youcheng,
If I understand your question, you have a correlation matrix with some
values below zero, but you want to map only those values greater than or
equal to zero as dark red - dark green. I'll assume that you want
another set of colors for the negative values (purple to dark blue).
Here's how:
corr.matrix<-matrix(runif(100,-1,1),nrow=10)
cellcolors<-matrix(NA,nrow=10,ncol=10)
cellcolors[corr.matrix >= 0]<-
color.scale(corr.matrix[corr.matrix >= 0],
cs1=c(0.7,0),cs2=c(0,0.7),cs3=0)
cellcolors[corr.matrix < 0]<-
color.scale(corr.matrix[corr.matrix < 0],
cs1=c(0.7,0),cs2=0,cs3=0.7)
color2D.matplot(corr.matrix,cellcolors=cellcolors,
show.values=TRUE)
I've included the values in the example so that you can see that the
positive and negative values are getting the correct colors.
Jim
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