Dear Contributors,
I am trying to perform a simulation over sample data,
but I need to reproduce the same simulation over 4 groups of data. My
ability with for loop is null, in particular related
to dimensions as I always get, no matter what I try,
"number of items to replace is not a multiple of replacement length"
This is what I intend to do: replicate this operation for
four times, where the index for the four groups is in the
part of the code: datiPc[[1]][,2].
I have to replicate the following code 4 times, where the
changing part is in the data from which I pick the sample,
the data that are stored in datiPc[[1]][,2].
If I had to use data for the four samples, I would substitute the 1 with a
j and replicate a loop four times, but it never worked.
My desired final outcome is a matrix with 10000 observations for each
couple of extracted samples, i.e. 8 columns of 10000 observations of means.
db<-c()
# Estrazione dei campioni dai dati di PGG e TRUST
estr1 <- c();
estr2 <- c();
m1<-c()
m2<-c()
tmp1<- data1[[1]][,2];
tmp2<- data2[[2]][,2];
for(i in 1:100){
estr1<-sample(tmp1, 1000, replace = TRUE)
estr2<-sample(tmp2, 1000, replace = TRUE)
m1[i]<-mean(estr1,na.rm=TRUE)
m2[i]<-mean(estr2,na.rm=TRUE)
}
db<-data.frame(cbind(m1,m2))
Thanks for any help you can provide.
Best Regards
--
Francesca
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