I?m trying to do multiply permutation tests, my code look like:
 >one.test<- function(x,y){
+ xstar<-sample(x)
+ anova(lm(y ~ xstar))
+ }
>z<-function(x) replicate (1000,one.test(x,BPH)$"F value"[1])  #
gives me
1000 permute F values
> perm_Fvalue<- apply(assoc_BPH[,3:900],2,z)
>a <- function(x) anova(lm(BPH ~ x))$"F value?[1]  # # give me the
reals F
values
> real_F <- apply(assoc_BPH[,3:900],2,a)
#  How can I attach the ?real_F? function  and a calculation function for
the new P-value  to the original z function, so by 
>  apply(assoc_BPH[,3:900],2,z)
I will get the new P-value for each variable?
        Thanks
                     Imri
                 
-- 
View this message in context:
http://www.nabble.com/Extract-the-P-value-from-of-permutation-tests-tp24565402p24565402.html
Sent from the R help mailing list archive at Nabble.com.