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// Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
// Copyright (C) INRIA
// Copyright (C) Bruno Pincon
// Copyright (C) 2010 - Samuel Gougeon
//
// This file must be used under the terms of the CeCILL.
// This source file is licensed as described in the file COPYING, which
// you should have received as part of this distribution. The terms
// are also available at
// http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
function histplot(n,data,style,strf,leg,rect,nax,logflag,frameflag,axesflag,normalization)
// histplot(n,data,<opt_arg_seq>)
// draws histogram of entries in data put into n classes
//
// histplot(xi,data,<opt_arg_seq>)
// generates the histogram of entries in data put into classes
// [xi(1),xi(2)], (xi(k) xi(k+1)], k=2,..,n.
// xi's are assumed st. increasing (this point is verified now).
//
// optionnal args:
// 1/ the same than for a plot2d:
// style,strf,leg,rect,nax,logflag,frameflag,axesflag
// 2/ normalization flag (default value %t). When true the
// histogram is normalized so that to approach a density:
// xmax
// /
// | h(x) dx = 1 (true if xmin <= min(data) and max(data) <= xmax)
// /
// xmin
//
// Example : enter histplot()
//
// modifs to use dsearch (Bruno Pincon 10/12/2001)
// others modifs from Bruno (feb 2005):
// - may be a cleaner and shorter way to deal with optionnal arg ?
// - now the histgram is drawn using only one polyline
// (so properties (color, thickness,...) are easier
// to change with new graphics).
// - removed computation of nax and rect if they are not
// passed (let plot2d doing it)
// - modify a little the demo
// - add some checking on n|x and data
//
[lhs,rhs]=argn()
if rhs == 0 then // demo
histplot([-4.5:0.25:4.5],rand(1,20000,'n'),style=2,axesflag=1,..
frameflag=1,rect=[-4.5 0 4.5 0.47]);
deff("[y]=f(x)","y=exp(-x.*x/2)/sqrt(2*%pi);");
x=-4.5:0.125:4.5;
x=x';
plot2d(x,f(x),26,"000");
titre= gettext("histplot() : (normalized) histogram plot");
xtitle(titre,"C (Classes)","N(C) / (Nmax length(C))"); // Not clear
legend(gettext("Gaussian random sample histogram"), ..
gettext("Exact gaussian density"));
return
end
if rhs < 2
error(msprintf(gettext("%s: Wrong number of input argument(s): At least %d expected.\n"),"histplot",2));
end
if type(n) ~= 1 | ~isreal(n)
error(msprintf(gettext("%s: Wrong type for input argument #%d: Real expected.\n"),"histplot",1));
elseif type(data) ~= 1 | ~isreal(data)
error(msprintf(gettext("%s: Wrong type for input argument #%d: Real expected.\n"),"histplot",2));
end
// this is the only specific optionnal argument for histplot
if ~exists('normalization','local') then, normalization=%t,end
// now parse optionnal arguments to be sent to plot2d
opt_arg_seq = []
opt_arg_list = ["style","strf","leg","rect","nax","logflag","frameflag","axesflag"]
for opt_arg = opt_arg_list
if exists(opt_arg,"local") then
opt_arg_seq = opt_arg_seq +","+ opt_arg + "=" + opt_arg
end
end
p = length(data)
if length(n) == 1 then // the number of classes is provided
if n < 1
error(msprintf(gettext("%s: Wrong value for input argument #%d: Must be in the interval %s.\n"),"histplot",1,"[1, oo)"));
elseif n~=floor(n)
error(msprintf(gettext("%s: Wrong type for input argument #%d: Integer expected.\n"),"histplot",1))
end
x = linspace(min(data), max(data), n+1);
else // the classes are provided
x = matrix(n,1,-1) // force row form
if min(diff(x)) <= 0 then
error(msprintf(gettext("%s: Wrong values for input argument #%d: Elements must be in increasing order.\n"),"histplot",1))
end
n = length(x)-1
end
[ind , y] = dsearch(data, x)
if normalization then y=y ./ (p*(x(2:$)-x(1:$-1))),end
// now form the polyline
// X = [x1 x1 x2 x2 x2 x3 x3 x3 x4 ... xn xn+1 xn+1]'
// Y = [0 y1 y1 0 y2 y2 0 y3 y3 ... 0 yn yn 0 ]'
X = [x(1);x(1);matrix([1;1;1]*x(2:n),-1,1);x(n+1);x(n+1)]
// BUG#1885
// We start the histplot line to %eps rather than 0
// So when switching to logarithmic mode we do not fall
// in log(0) special behaviour.
Y = [matrix([%eps;1;1]*y,-1,1);%eps]
if opt_arg_seq == [] then
plot2d(X,Y)
else
execstr('plot2d(X,Y'+opt_arg_seq+")")
end
endfunction
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