Q. How to generate random numbers with a pre specified correlation in Matlab?

Ans. Use mvnrnd() function.This function takes mean (vector of 1xk), covariance (matrix of k x k), number of points (n). The output is an nxk matrix which corresponds to the multivariate normal distribution with the specified mean, covariance.

The problem is underspecified if only the correlation matrix is known. In this case, set the mean to a zero vector, covariance to the given correlation matrix.

Tested in MATLAB 7.14.0.739 (R2012a), Octave 3.6.2

Ans. Use mvnrnd() function.This function takes mean (vector of 1xk), covariance (matrix of k x k), number of points (n). The output is an nxk matrix which corresponds to the multivariate normal distribution with the specified mean, covariance.

>> n=1000; mu=[-2,2]; sigma=[1 0.5; 0.5 1]; X = mvnrnd(mu, sigma, n); >> size(X) ans = 1000 2 >> mean(X) ans = -2.0350 2.0157 >> cov(X) ans = 0.9950 0.4898 0.4898 0.9894 >> plot(X(:,1), X(:,2), '.') >> grid

The problem is underspecified if only the correlation matrix is known. In this case, set the mean to a zero vector, covariance to the given correlation matrix.

Tested in MATLAB 7.14.0.739 (R2012a), Octave 3.6.2