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authorziejd22018-03-14 23:23:33 -0500
committerGitHub2018-03-14 23:23:33 -0500
commit1ff6baa44e22b91eefb48aea6f3befa078c0489b (patch)
treee0fd79d2e32fd2aedda2eadaed0f19af3514c520 /sourcecodes/bnt-master/netlab3.3/histp.m
parent6882395afdadf4e982b25b5215071a0932730950 (diff)
parentc80226899f5cdd9f11c163817d59445213f5bef0 (diff)
downloadBNW-1ff6baa44e22b91eefb48aea6f3befa078c0489b.tar.gz
Merge pull request #1 from ziejd2/octave_php_separate
Octave php separate
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+function h = histp(x, xmin, xmax, nbins)
+%HISTP	Histogram estimate of 1-dimensional probability distribution.
+%
+%	Description
+%
+%	HISTP(X, XMIN, XMAX, NBINS) takes a column vector X  of data values
+%	and generates a normalized histogram plot of the  distribution. The
+%	histogram has NBINS bins lying in the range XMIN to XMAX.
+%
+%	H = HISTP(...) returns a vector of patch handles.
+%
+%	See also
+%	DEMGAUSS
+%
+
+%	Copyright (c) Ian T Nabney (1996-2001)
+
+ndata = length(x);
+
+bins = linspace(xmin, xmax, nbins);
+
+binwidth = (xmax - xmin)/nbins;
+
+num = hist(x, bins);
+
+num = num/(ndata*binwidth);
+
+h = bar(bins, num, 0.6);
+