Publisher review:2D Histogram Calculation - Quick computation of two-dimensional histogram of bivariate data function histmat = hist2(x, y, xedges, yedges)Extract 2D histogram data containing the number of events of [x , y] pairs that fall in each bin of the grid defined by xedges and yedges. The edges are vectors with monotonically non-decreasing values.The code is optimized no loop inside, it can be useful in the case of large dataset. EXAMPLE events = 1000000;x1 = sqrt(0.05)*randn(events,1)-0.5; x2 = sqrt(0.05)*randn(events,1) 0.5;y1 = sqrt(0.05)*randn(events,1) 0.5; y2 = sqrt(0.05)*randn(events,1)-0.5;x= [x1;x2]; y = [y1;y2];For linearly spaced edges:xedges = linspace(-1,1,64); yedges = linspace(-1,1,64);histmat = hist2(x, y, xedges, yedges);figure; pcolor(xedges,yedges,histmat'); colorbar ; axis square tight;For nonlinearly spaced edges:xedges_ = logspace(0,log10(3),64)-2; yedges_ = linspace(-1,1,64);histmat_ = hist2(x, y, xedges_, yedges_);figure; pcolor(xedges_,yedges_,histmat_'); colorbar ; axis square tight; Requirements: ยท MATLAB Release: R13SP1
2D Histogram Calculation is a Matlab script for Statistics and Probability scripts design by Laszlo Balkay.
It runs on following operating system: Windows / Linux / Mac OS / BSD / Solaris.
Operating system:Windows / Linux / Mac OS / BSD / Solaris