Mercurial > hg > camir-ismir2012
comparison toolboxes/FullBNT-1.0.7/netlab3.3/histp.m @ 0:cc4b1211e677 tip
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646 (e263d8a21543) added further path and more save "camirversion.m"
| author | Daniel Wolff |
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| date | Fri, 19 Aug 2016 13:07:06 +0200 |
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| children |
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| -1:000000000000 | 0:cc4b1211e677 |
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| 1 function h = histp(x, xmin, xmax, nbins) | |
| 2 %HISTP Histogram estimate of 1-dimensional probability distribution. | |
| 3 % | |
| 4 % Description | |
| 5 % | |
| 6 % HISTP(X, XMIN, XMAX, NBINS) takes a column vector X of data values | |
| 7 % and generates a normalized histogram plot of the distribution. The | |
| 8 % histogram has NBINS bins lying in the range XMIN to XMAX. | |
| 9 % | |
| 10 % H = HISTP(...) returns a vector of patch handles. | |
| 11 % | |
| 12 % See also | |
| 13 % DEMGAUSS | |
| 14 % | |
| 15 | |
| 16 % Copyright (c) Ian T Nabney (1996-2001) | |
| 17 | |
| 18 ndata = length(x); | |
| 19 | |
| 20 bins = linspace(xmin, xmax, nbins); | |
| 21 | |
| 22 binwidth = (xmax - xmin)/nbins; | |
| 23 | |
| 24 num = hist(x, bins); | |
| 25 | |
| 26 num = num/(ndata*binwidth); | |
| 27 | |
| 28 h = bar(bins, num, 0.6); | |
| 29 |