[R] finding a faster way to do an iterative computation

[dxc13]

useR's,

I am trying trying to find out if there is a faster way to do a certain
computation.  I have successfully used FOR loops and the apply function to
do this, but it can take some time to fully compute, but I was wondering if
anyone may know of a different function or way to do this:
> x
[1] 1 2 3 4 5
> xk
 [1] 0.0 0.5 1.0 1.5 2.0 2.5 3.0 3.5 4.0 4.5 5.0 5.5 6.0

I want to do: abs(x-xk[i]) where i = 1 to length(xk)=13.  It should result
in a 13 by 5 matrix or data frame.  Does anyone have a "quicker" solution
than FOR loops or apply()?

Much appreciation and thanks,
dxc13
-- 
View this message in context: http://www.nabble.com/finding-a-faster-way-to-do-an-iterative-computation-tp18718233p18718233.html
Sent from the R help mailing list archive at Nabble.com.