Normal random numbers
x = distfun_normrnd ( mu , sigma ) x = distfun_normrnd ( mu , sigma , [m,n] ) x = distfun_normrnd ( mu , sigma , m , n )
a matrix of doubles, the average
a matrix of doubles, the standard deviation. sigma>0.
a 1-by-1 matrix of floating point integers, the number of rows of x
a 1-by-1 matrix of floating point integers, the number of columns of x
a matrix of doubles, the random numbers.
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.
// Test both mu and sigma expanded x = distfun_normrnd(1:6,(1:6)^-1) // Test sigma expansion x = distfun_normrnd(1:6,2.0) // Test mu expansion x = distfun_normrnd(1.0,1:6) // Test with v x = distfun_normrnd(0,1,[3 2]) // Test with m, n x = distfun_normrnd(0,1,3,2) // Make a plot of the actual distribution of the numbers mu = 2; sigma = 3; scf(); x = distfun_normrnd(mu,sigma,1,1000); histplot(10,x) x = linspace(-10,10,1000); y = distfun_normpdf(x,mu,sigma); plot(x,y) xtitle("Normal Random Numbers","X","Density") legend(["Empirical","PDF"]); | ![]() | ![]() |