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How can I color the area under a histfit curve?

3 vues (au cours des 30 derniers jours)
Camilla Ancona
Camilla Ancona le 29 Mai 2021
Modifié(e) : DGM le 30 Mai 2021
Hello everyone, I am trying to make in Matlab a plot called heated density plot in R that is basically a smoothed histogram whose area under the curve is colored accordingly to the belonging to a certain "bin". Can everyone help me doing this? I would really appreciate this. I attach an example of what the outcome should look like more or less. Thank you

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Tala
Tala le 29 Mai 2021
I assume you have an array that contains the envelope of your curve. If yes, this should help you! something like:
section1=1:0.1:2;
section2=2:0.1:3;
area(section1,yourarray);
hold all
area(section2,yourarray);
  1 commentaire
Camilla Ancona
Camilla Ancona le 30 Mai 2021
Modifié(e) : Camilla Ancona le 30 Mai 2021
Thank you for your answer! In truth I changed my mind and I am trying to visualize my data through a violin plot but i have the same issue to color the area of the violin or/and the datapoints color accordingly to their belonging of a certain class. here there is my attempt
I'm trying to visualize my data by means of this package, but I was wondering if there is a way to color differently the datapoints accordingly to their belonging of a certain range of equivalently the area of the violin. this is my attemot in substituiting the CData matrix with arranged RGB triplets but this approach does not works
vs = violinplot(data,[],'Width',0.2,'Bandwidth',0.3,'ViolinColor',[0 0 1],'ViolinAlpha',0.5,'EdgeColor',[0 0 1],'BoxColor',[0 0 0],'MedianColor',[1 0 0]);
hold on
h = vs(1).ScatterPlot;
cdata = vs.ScatterPlot.CData;
c = repmat(cdata,[1446 1]);
c(1:freq_new_net(1),:) = repmat([1 0 0],[freq_new_net(1) 1]);
c(freq_new_net(1)+1:freq_new_net(1)+freq_new_net(2),:) = repmat([1 1 0],[freq_new_net(2) 1]);
c(freq_new_net(1)+freq_new_net(2)+1:freq_new_net(1)+freq_new_net(2)+freq_new_net(3),:) = repmat([1 1 1],[freq_new_net(3) 1]);
c(freq_new_net(1)+freq_new_net(2)+freq_new_net(3)+1:freq_new_net(1)+ freq_new_net(2)+freq_new_net(3)+freq_new_net(4),:) = repmat([0 0 1],[freq_new_net(4) 1]);
c(freq_new_net(1)+freq_new_net(2)+freq_new_net(3)+freq_new_net(4)+1:1446,:) = repmat([0 1 0],[freq_new_net(5) 1]);
h.CData = c;
vs.ScatterPlot.CData = c;

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DGM
DGM le 30 Mai 2021
Modifié(e) : DGM le 30 Mai 2021
I have no familiarity with violin plots or your data, and I don't know which violin plot tools you chose to use. If you're trying to essentially control the resolution of your colormap, consider a simplified example:
x = 1:100;
y = 1:100;
nbins = 5;
% find which bin each point belongs in
[~,~,idx] = histcounts(y,nbins);
% start with a reduced colormap
cmap = jet(nbins);
% combine to get cdata
scatter(x,y,[],cmap(idx,:))
I don't know if that's helpful in your case.

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