Thanks for all you guys'  help above.
 
Actually my question is for Multivariate Normal
 
m1<-c(2.5,3.5,4.5)
m2<-c(-3,-4,-5)
m3<-c(100,120,130)
n1<-length(data$x)
sigma1<-matrix(c(1,0.3,0.4,0.3,1,0.2,0.4,0.2,1),nrow=3,byrow=T)
 
trait1<-ifelse(data$x==1,list(rmvnorm(n1,mean=m11,sigma=sigma1)),ifelse(data$x==2,list(rmvnorm(n1,mean=m12,sigma=sigma1)),list(rmvnor
m(n1,mean=m13,sigma=sigma1))))
 
I don't know why the way wroks for rnorm, but it doesn't work for rmvnorm. Do 
you know a way to fix it?






-- 
View this message in context: 
http://n4.nabble.com/How-to-use-ifelse-to-generate-random-value-from-a-distribution-tp1597064p1597400.html
Sent from the R help mailing list archive at Nabble.com.

        [[alternative HTML version deleted]]

______________________________________________
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.

Reply via email to