search for: qm2

...gt;>>#Fnn2<- Fn2(res3[i,"p2"]); >>>> >>>>Fmm2<- Fm2(p1L); >>>>Fnn2<- Fn2(p1H); >>>> >>>>R2<- (Fmm2+Fnn2)/2;? >>>>Fmm_f2<- max(R2, Fmm2); >>>>Fnn_f2<- min(R2, Fnn2);? >>>>Qm2<- 1-Fmm_f2; >>>>Qn2<- 1-Fnn_f2; >>>>data.frame(Qm2,Qn2)})) >>>> >>>>res5<-cbind(res3,res4) >>>>head(res5,5) >>>> >>>>################################################# calculate cumulative sum ##############...

Hi all, I wrote a function that actually does what I want it to do, but it tends to be very slow for large amount of data. On my computer it takes 5.37 seconds for 16000 data points and 21.95 seconds for 32000 data points. As my real data consists of 18000000 data points it would take ages to use the function as it is now. Could someone help me to speed up the calculation? Thank you, Tonja

Thank you very much for your reply. Your code work well with this example. I modified a little to fit my real data, I got an error massage. Error in split.default(x = seq_len(nrow(x)), f = f, drop = drop, ...) : Group length is 0 but data length > 0 On Thu, Jan 31, 2013 at 12:21 PM, arun kirshna [via R] < ml-node+s789695n4657196h87@n4.nabble.com> wrote: > Hi, > Try this: >