Hello:
I have a list of data frames, built like this: the second df is a result of a function applied to the first, and so on. So the ith df is always dependent on the (i-1)th df. I've been doing this using for loops. However I think I have too many for loops which is making my code run slowly. Is there any workaround this? How can I avoid the use of for loops? As an example: output.list <- as.list(rep("", 100))#creation of a list output.list[[1]] <- df1#first position for(I in 2:100){#following positions df0 <- output.list[[i-1]] df0_1 <- f1(df0)#function applied to the previous df output.list[[i]] <- df0_1#new df } thanks, Frederico [[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.