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

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Amin Kassab-Bachi 2021-11-26

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此问题的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1596629-setting-the-color-of-specific-cells-in-a-heatmap-that-contains-two-types-of-data

评论： DGM 2021-11-27

采纳的回答： DGM

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.

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dpb 2021-11-26

Attach your code/data to create what you have as a starting point for those here..."help us help you"

Amin Kassab-Bachi 2021-11-26

在 MATLAB Online 中打开

CorrelationData.mat

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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Answer 1

DGM 2021-11-26

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链接

此回答的直接链接

https://ww2.mathworks.cn/matlabcentral/answers/1596629-setting-the-color-of-specific-cells-in-a-heatmap-that-contains-two-types-of-data#answer_841039

在 MATLAB Online 中打开

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.

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DGM 2021-11-26

在 MATLAB Online 中打开

CorrelationData.mat

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)