Hi, Not sure I understand correctly. May be this helps: ##If the blocks are created as a list set.seed(475) lst1 <- setNames(lapply(1:10, function(i) {rowN <- sample(20,1)*15; matrix(sample(40,10*rowN, replace=TRUE), nrow=rowN)}),1:10)
sapply(lst1,nrow)>100 # 1 2 3 4 5 6 7 8 9 10 #TRUE TRUE TRUE TRUE TRUE FALSE TRUE FALSE TRUE TRUE sapply(lst1[sapply(lst1,nrow)>100],mean) ## lapply(lst1[sapply(lst1,nrow)>100],summary) A.K. On Thursday, May 15, 2014 12:26 AM, David Gwenzi <dgwe...@gmail.com> wrote: Hi all I have point data along a transect and I want to divide the transect into small blocks of 10m length each. I have named the blocks as a list i.e subset[[i]]. Now the issue is I want to process only those blocks that have at least 100 data points and keep the original index values of those subsets. How do I set the for loop. I have tried the following but it is still processing everything select<-which(nrow(subset[[i]])>=100 for (i in c(select)){ .............. } Thank you in advance, David Gwenzi Graduate Degree Program in Ecology Natural Resources Ecology Lab Colorado State University [[alternative HTML version deleted]] ______________________________________________ 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.