%  This function gives values from  the Gaussian PDF%  with mean m and variance sig^2.%%  A vector of means for constant variance will work%  or a vector of means and variances.%  Vector q does not work however%%      prob = gauss_CDF(q,m,sig)%function  prob = gauss_CDF(q,m,sig)%fprintf('%f %f\n',m,sig)prob = ( erf(  (q-m)./sig   /sqrt(2)) + 1 )/2  ;