On Fri, 26 Aug 2005 14:44:10 +0200 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 ?
You could use sapply(): m <- sapply(x, function(x) qchisq(x, df)) hth, Z > 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