Mercurial > hg > camir-aes2014
annotate toolboxes/FullBNT-1.0.7/netlab3.3/histp.m @ 0:e9a9cd732c1e tip
first hg version after svn
author | wolffd |
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date | Tue, 10 Feb 2015 15:05:51 +0000 |
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children |
rev | line source |
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wolffd@0 | 1 function h = histp(x, xmin, xmax, nbins) |
wolffd@0 | 2 %HISTP Histogram estimate of 1-dimensional probability distribution. |
wolffd@0 | 3 % |
wolffd@0 | 4 % Description |
wolffd@0 | 5 % |
wolffd@0 | 6 % HISTP(X, XMIN, XMAX, NBINS) takes a column vector X of data values |
wolffd@0 | 7 % and generates a normalized histogram plot of the distribution. The |
wolffd@0 | 8 % histogram has NBINS bins lying in the range XMIN to XMAX. |
wolffd@0 | 9 % |
wolffd@0 | 10 % H = HISTP(...) returns a vector of patch handles. |
wolffd@0 | 11 % |
wolffd@0 | 12 % See also |
wolffd@0 | 13 % DEMGAUSS |
wolffd@0 | 14 % |
wolffd@0 | 15 |
wolffd@0 | 16 % Copyright (c) Ian T Nabney (1996-2001) |
wolffd@0 | 17 |
wolffd@0 | 18 ndata = length(x); |
wolffd@0 | 19 |
wolffd@0 | 20 bins = linspace(xmin, xmax, nbins); |
wolffd@0 | 21 |
wolffd@0 | 22 binwidth = (xmax - xmin)/nbins; |
wolffd@0 | 23 |
wolffd@0 | 24 num = hist(x, bins); |
wolffd@0 | 25 |
wolffd@0 | 26 num = num/(ndata*binwidth); |
wolffd@0 | 27 |
wolffd@0 | 28 h = bar(bins, num, 0.6); |
wolffd@0 | 29 |