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scientificComputing/statistics/code/histogramquartiles.m

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Matlab

% generate data:
x = randn(1, 100000);
% histogram:
[h,b] = hist(x, 100);
% normalize:
bs = b(2)-b(1);
h = h/sum(h)/bs;
% plot:
bar(b, h);
xlabel('x');
% median, quartile:
q = quartiles(x);
%q = quantile(x, [0.25, 0.5, 0.75 ]);
% plot:
hold on;
bar(b(b<q(1)), h(b<q(1)), 'FaceColor', [0.5 0 0.5]);
bar(b((b>=q(1)) & (b<q(2))), h((b>=q(1)) & (b<q(2))), 'FaceColor', [0.9 0 0]);
bar(b((b>=q(2)) & (b<q(3))), h((b>=q(2)) & (b<q(3))), 'FaceColor', [0 0 0.9]);
bar(b(b>=q(3)), h(b>=q(3)), 'FaceColor', [0.5 0 0.5]);
hold off;