Binning data into equally spaced intervals

Hi, I have a large matrix and I'm attempting to bin the data in intervals of 5.

For example, I want all the numbers (most are non integres, ex. 1.2) between 0 to 5 in one bin, then 5 to 10 in another, etc. until I get to 2000 (so 400 bins in total). Also, for each bin, I'd like to find the median or average value, and create a vector with these values.

Any help would be greatly appreciated!

Answer 1

[Star Strider]

One approach —

v = rand(1,1000)*2000;
edges = 0:5:2000;

[counts,edg,bin] = histcounts(v, edges);                        % Bin Counts

Meanv = accumarray(bin(:),v(:),[],@mean);                       % Mean Values OF Each Bin
ctrs = edges(1:end-1)+mean(diff(edges)/2);                      % Bin Centres

figure
subplot(2,1,1)
bar(ctrs, counts)
title('Histogram')
subplot(2,1,2)
scatter(ctrs, Meanv,'.')
title('Mean Values Of Each Bin')
xlabel('Bin')

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