I believe that the following is what you want: x <- c(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9, 0.95, 0.975, 0.99, 0.995) dof <- 1:100 ans <- outer(x, dof, qchisq) dimnames(ans) <- list(x, dof)
Note that 'df' is not a very auspicious name for an object since it is the name of a function. Patrick Burns [EMAIL PROTECTED] +44 (0)20 8525 0696 http://www.burns-stat.com (home of S Poetry and "A Guide for the Unwilling S User") Sigbert Klinke wrote: >Hi, > >I want to compute the quantiles of Chi^2 distributions with different >degrees of freedom like > >x<-cbind(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9, 0.95, 0.975, 0.99, 0.995) >df<-rbind(1:100) >m<-qchisq(x,df) > >and hoped to get back a length(df) times length(x) matrix with the >quantiles. Since this does not work, I use > >x<-c(0.005, 0.010, 0.025, 0.05, 0.1, 0.5, 0.9, 0.95, 0.975, 0.99, 0.995) >df<-c(1:100) >m<-qchisq(x,df[1]) >for (i in 2:length(df)) { > m<-rbind(m,qchisq(x,df[i])) >} >dim(m)<-c(length(df),length(x)) > >Is there a way to avoid the for loop ? > >Thanks Sigbert > >______________________________________________ >R-help@stat.math.ethz.ch mailing list >https://stat.ethz.ch/mailman/listinfo/r-help >PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html > > > > > ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html