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Distfun >> Distfun > Normal > distfun_normrnd

distfun_normrnd

Normal random numbers

Calling Sequence

R = distfun_normrnd ( mu , sigma )
R = distfun_normrnd ( mu , sigma , [m,n] )
R = distfun_normrnd ( mu , sigma , m , n )

Parameters

mu :

a n-by-m matrix of doubles, the average

sigma :

a n-by-m matrix of doubles, the standard deviation. sigma>0.

m :

a 1x1 matrix of floating point integers, the number of rows of R

n :

a 1x1 matrix of floating point integers, the number of columns of R

R:

a matrix of doubles, the random numbers.

Description

Generates random variables from the Normal distribution function.

Any scalar input argument is expanded to a matrix of doubles of the same size as the other input arguments.

Examples

// Set the seed so as to always get the same results.
distfun_seedset(1);

// Test both mu and sigma expanded
computed = distfun_normrnd(1:6,(1:6)^-1)

// Test sigma expansion
computed = distfun_normrnd(1:6,2.0)

// Test mu expansion
computed = distfun_normrnd(1.0,1:6)

// Test with v
computed = distfun_normrnd(0,1,[3 2])

// Test with m, n
computed = distfun_normrnd(0,1,3,2)

// Make a plot of the actual distribution of the numbers
mu = 2;
sigma = 3;
data = distfun_normrnd(mu,sigma,1,1000);
scf();
histplot(10,data)
x = linspace(-10,10,1000);
y = distfun_normpdf(x,mu,sigma);
plot(x,y)
xtitle("Normal Random Numbers","X","Density")
legend(["Empirical","PDF"]);

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