Displaying 2 results from an estimated 2 matches for "computiation".
Did you mean:
computation
2004 Oct 18
0
Increasing computiation time per column using lapply
Hi,
Would be very glad for help on this problem. Using this code:
temp<-function(x, bins, tot) {
return(as.numeric(lapply(split(x, bins), wtest, tot)));
}
wtest <- function(x, y) {
return(wilcox.test(x,y)$p.value);
}
rs <- function(x, bins) {
binCount <- length(split(x[,1], bins));
tot <- as.numeric(x);
result<-matrix(apply(x, 2, temp, bins, tot),
2002 Oct 11
1
absurd computiation times of lme
Hi,
i've been trying to apply the lme apprach to growth curves
of children, but lme keeps running for ever and ever as
soon as I use a reasonable basis.
First Example:
Data are 39 boys from the Berkeley growth study, each one
measured 31 times at the ages of
1.00 1.25 1.50 1.75 2.00 3.00 4.00 5.00 6.00 7.00 8.00 8.50
9.00 9.50 10.00 10.50 11.00 11.50 12.00 12.50 13.00 13.50