Setting the color of specific cells in a heatmap that contains two types of data
52 ビュー (過去 30 日間)
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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 件のコメント
dpb
2021 年 11 月 26 日
Attach your code/data to create what you have as a starting point for those here..."help us help you"
採用された回答
DGM
2021 年 11 月 26 日
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 件のコメント
DGM
2021 年 11 月 26 日
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)
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