Displaying 3 results from an estimated 3 matches for "procustean".
2017 Aug 19
2
bootstrap subject resampling: resampled subject codes surface as list/vector indices
...tened to fit target size
inter.set = data.frame(matrix(, nrow = 0, ncol = ncol(data)))
#build the bootstrap sample from the selected subjects
for(j in 1:length(sample.subjects)){
inter.set = rbind(inter.set, data[data$subj ==
sample.subjects[j],])
}
#procustean bed of target sample size
final.set = inter.set[1:target.sample.size,]
write.csv(final.set, paste("bootstrap_sample_", iter,".csv",
sep=""), row.names=FALSE)
cat("Bootstrap Iteration", iter, "completed\n")
#clean up sa...
2004 Nov 16
5
Difference between two correlation matrices
Hi
Now a more theoretical question. I have two correlation matrices - one
of a set of variables under a particular condition, the other of the
same set of variables under a different condition. Is there a
statistical test I can use to see if these correlation matrices are
"different"?
Thanks
Mick
2017 Aug 19
0
bootstrap subject resampling: resampled subject codes surface as list/vector indices
...er.set = data.frame(matrix(, nrow = 0, ncol = ncol(data)))
>
> #build the bootstrap sample from the selected subjects
> for(j in 1:length(sample.subjects)){
>
> inter.set = rbind(inter.set, data[data$subj == sample.subjects[j],])
>
> }
>
> #procustean bed of target sample size
> final.set = inter.set[1:target.sample.size,]
>
> write.csv(final.set, paste("bootstrap_sample_", iter,".csv", sep=""),
> row.names=FALSE)
> cat("Bootstrap Iteration", iter, "completed\n")...