Setting the color of specific cells in a heatmap that contains two types of data

Hi,
I created the array below in Excel, and it's perfect except that the color bar is ugly and not detailed enough.
So I've been trying to recreate it in MATLAB using the heatmap function and this is what I produced so far.
Which is almost perfect, but I need to set a separate colormap, or a separate condition for the p-value cells. I want only cells with p-value of less than 0.05 to be colored while the rest is just white or black.
Some help with this would be great.
Thanks a lot.

2 Comments

Attach your code/data to create what you have as a starting point for those here..."help us help you"
Thanks for the comment.
The code
h=heatmap([1:30],["r(FCP)","r(FCP) {\it{p-value}}","{\rho}(FCP)","{\rho}(FCP) {\it{p-value}}","r(IDP)","r(IDP) {\it{p-value}}","{\rho}(IDP)","{\rho}(IDP) {\it{p-value}}"],[r_CP,rpval_CP,rho_CP,pval_CP,r_MNP,rpval_MNP,rho_MNP,pval_MNP]','Colormap',jet);
caxis([-1 1])
The Data is attached. I hope this is helpful.

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 Accepted Answer

You can use NaN to indicate out-of-range data
h = rand(10,10);
h(h<0.1) = NaN;
hh = heatmap(h);
hh.MissingDataLabel = 'h < 0.1';
colormap(jet)
The color of the excluded cells can be set using the MissingDataColor property.

3 Comments

Thanks for the answer.
This wouldn't work since I have overlapping values in both data types. Is there a way to specify the variables (vectors) I want the condition to be applied to rather than applying it to the whole heatmap?
Maybe something like this:
load CorrelationData.mat
thresh = 0.05;
pvals = [rpval_CP,pval_CP,rpval_MNP,pval_MNP]; % p-val
r = [r_CP,rho_CP,r_MNP,rho_MNP]; % idk what you call these
pvals(pvals<thresh) = NaN;
alldata = reshape([r; pvals],size(pvals,1),[]).'; % interleave and transpose
h=heatmap(1:30, ...
["r(FCP)","r(FCP) {\it{p-value}}","{\rho}(FCP)","{\rho}(FCP) {\it{p-value}}","r(IDP)","r(IDP) {\it{p-value}}","{\rho}(IDP)","{\rho}(IDP) {\it{p-value}}"], ...
alldata,'Colormap',jet);
caxis([-1 1])
colormap(parula)
Brilliant! This definitely works. Many thanks for the help.

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R2019a

Asked:

on 26 Nov 2021

Commented:

DGM
on 27 Nov 2021

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