Here's one way (assuming your data frame is named dat):
with(dat, data.frame(a,t(sapply(a,function(x){ apply(dat[a - x >= -5 & a - x <= 0,c('b','c')],2,sum)})))) - Phil Spector Statistical Computing Facility Department of Statistics UC Berkeley spec...@stat.berkeley.edu On Tue, 1 Sep 2009, dolar wrote:
Would like some tips on how to avoid loops as I know they are slow in R i've got a data frame : a b c 1 5 2 4 6 9 5 2 3 8 3 2 What i'd like is to sum for each value of a, the sum of b and the sum of c where a equal to or less than (with a distance of 5) i.e. for row three we have a=5 i'd like to sum up b and sum up c with the above rule since 5, 4 and 1 are less than (within a distance of 5) or equal to 5, then we should get the following result: a b c 5 13 14 the overall result should be a b c 1 5 2 4 11 11 5 13 14 8 11 14 how can i do this without a loop? -- View this message in context: http://www.nabble.com/Avoiding-loops-tp25251376p25251376.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.
______________________________________________ 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.