Dear R users, I am trying to minimize two function simultaneously in R,
function(x) minimize x[1],x[2],x[3] mean(distribution(x1,x2,x3) ) - observed mean std(distribution(x1,x2,x3)) - observed std What I want to achieve is that simulated mean and standard deviation of distribution related to x1 x2 x3 would be close to observed mean and observed standard deviation. is there any function in R can reach this? Thank you for the help first . F. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.
