how to generate random variables with gaussian distribution with 0 mean and 1 standard deviation.
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rand is for uniform standard distribution i think...then what about gaussian distribution.what command is available
Answers (2)
David Sanchez
on 28 Nov 2013
r = rand(n) returns an n-by-n matrix containing pseudorandom values drawn from the standard uniform distribution on the open interval (0,1). The mean determines the location of the distribution while the std. deviation determines the width of the bell curve. By all that,
mean+ standard deviation*randn()
will yield a distribution with your mean and your standard deviation.
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Andrei Bobrov
on 28 Nov 2013
Edited: Andrei Bobrov
on 28 Nov 2013
Example:
x = randn(200);
x1 = x(:) - mean(x(:));
out = reshape(x1/std(x1),size(x));
[mean(out(:)),std(out(:))]
It's for mean1 = 0 and std1 = 1 ;
For
mean1 = 2;
std1 = 3;
x = randn(200);
x1 = x(:) - mean(x(:));
s = x1/std(x1)*std1;
out = reshape(s + mean1,size(x));
[mean(out(:)),std(out(:))]
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