Below is a script for plotting kernel density estimates (KDEs) in Matlab
%ScriptGraphCombo
%subplot, putting the two on the same graph.
%I. Start
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clear
%load in the data;
load data/NB25.mat
%work with
%X 5000x5 200000 double
%Y 5000x5 200000 double
linenu = 2;
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%Note we can force the support:
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% x = [randn(30,1); 5+randn(30,1)];
% xi = linspace(-10,15,201);
% f = ksdensity(x,xi,'function','cdf');
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%II. Graph - Combined DATA
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%this is if you simply use a normal density - keep away from zero
ep=.01;
Y = max(Y,ep);
[fA,xA] = ksdensity(Y(:,1));
[fB,xB] = ksdensity(Y(:,2));
[fC,xC] = ksdensity(Y(:,3));
[fD,xD] = ksdensity(Y(:,4));
[fE,xE] = ksdensity(Y(:,5));
xvector=[xA;xB;xC;xD;xE]';
fvector=[fA; fB; fC; fD; fE]';
plot(xvector, fvector, 'LineWidth',linenu);
legend('avg-1','avg-2', 'avg-3', 'avg-4', 'avg-5')
xlabel('Egg Count', 'fontsize',14)
ylabel('Probability Density', 'fontsize',14)
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