I'm not sure is this correct, but maybe you are looking for something like
this:

test<-function(){
permuted.Qtot<-permn(data$Qtot)
n<-length(permuted.Qtot)
correlation<-rep(NA,n)
for(i in 1:n){
correlation[i]<-cor(data$Itot,permuted.Qtot[[i]])}
p<-sum(correlation>=cor(data$Qtot,data$Itot))/n
print(paste("P-value:", round(p,5)),quote=F)
}
test()

-- 
Mi³ego dnia

        [[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