mapply
well, you do not have to compute the pairwise difference each time; for
instance, you could use something like this (untested):
out1 <- outer(a, c, "-")
out2 <- outer(b, c, "-")
u <- v <- 1:5
mat <- matrix(0, length(u), length(u))
for (i in seq_len(u)) {
for (j in seq_len(v)) {
res1 <- colSums(abs(out1 - i) == 0) > 0
res2 <- colSums(abs(out2 - j) == 0) > 0
mat[i, j] <- sum(res1 & res2)
}
}
mat
I hope it helps.
Best,
Dimitris
KARAVASILIS GEORGE wrote:
Hello, R users.
I would like to count the number of triples (r_i, s_j, t_k) with r_i,
s_j, t_k distinct and abs((r_i-t_k)-u)=0 and abs((s_j-t_k)-v)=0, where
r_i, s_j, t_k are the elements of three vectors a,b,c with different
lengths and u,v=1:n. I have solved this problem writing a subroutine in
Fortran an calling .Fortran(). I would like to find another way to use
functions like mapply. I tried this one:
xx <- mapply( function(u,v) {
kk <- outer(a, c, function(s,t) abs((s-t)-u)==0)
ll <- outer(b, c, function(s,t) abs((s-t)-v)==0)
sum( outer( which(kk==TRUE, TRUE)[,2], which(ll==TRUE, TRUE)[,2],
function(s,t) s==t) ) },
rep(1:n, each=n), rep(1:n, times=n) )
xx <- matrix(xx, nrow=n, ncol=n, byrow=TRUE)
It works but it is rather slow. Taking into account that my vectors have
lengths 3000, and n is from 50 to 200, can I do something to improve the
running time of the above code?
______________________________________________ R-help at 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.
Dimitris Rizopoulos Assistant Professor Department of Biostatistics Erasmus University Medical Center Address: PO Box 2040, 3000 CA Rotterdam, the Netherlands Tel: +31/(0)10/7043478 Fax: +31/(0)10/7043014