Thank you to all who applied. These all seem to work the way I want them to. The outer function seems really useful, I probably could use that for a lot of my work. Thanks!
Rolf Turner-3 wrote: > > > On 30/07/2008, at 6:12 AM, dxc13 wrote: > >> >> 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()? > > outer(xk,x,function(a,b){abs(a-b)}) > > ###################################################################### > Attention:\ This e-mail message is privileged and confid...{{dropped:9}} > > ______________________________________________ > R-help@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. > > -- View this message in context: http://www.nabble.com/finding-a-faster-way-to-do-an-iterative-computation-tp18718233p18723369.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@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.