> I was able to create 102 distinct dataframes (DFs1, DFs2, DFs3, etc) using > the assign() in a loop.
The first step to making things easier to do is to put those data.frames into a list. I'll call it DFS and your data.frames will now be DFs[[1]], DFs[[2]], ..., DFs[[length(DFs)]]. DFs <- lapply(paste0("DFs", 1:102), get) In the future, I think it would be easier if you skipped the 'assign()' and just put the data into a list from the start. Now use lapply to process that list, creating a new list called 'df', where df[[i]] is the result of processing DFs[[i]]: df <- lapply(DFs, FUN=function(DFsi) { # your code from the for loop you supplied dfi=DFsi[1,] dfi=dfi[,1:3] names(dfi)=names(DFsi[c(1,4,5)]) dfi=rbind(dfi,DFsi[c(1,4,5)]) names(dfi)=c("UID","Date","Location") dfi # return this to put in list that lapply is making }) (You didn't supply sample data so I did not run this - there may be typos.) Bill Dunlap TIBCO Software wdunlap tibco.com On Sat, Aug 9, 2014 at 1:39 PM, Laura Villegas Ortiz <lvil...@ncsu.edu> wrote: > Dear all, > > I was able to create 102 distinct dataframes (DFs1, DFs2, DFs3, etc) using > the assign() in a loop. > > Now, I would like to perform the following transformation for each one of > these dataframes: > > df1=DFs1[1,] > df1=df1[,1:3] > names(df1)=names(DFs1[c(1,4,5)]) > df1=rbind(df1,DFs1[c(1,4,5)]) > names(df1)=c("UID","Date","Location") > > something like this: > > for (i in 1 : nrow(unique)){ > > dfi=DFsi[1,] > dfi=dfi[,1:3] > names(dfi)=names(DFsi[c(1,4,5)]) > dfi=rbind(dfi,DFsi[c(1,4,5)]) > names(dfi)=c("UID","Date","Location") > > } > > I thought it could be straightforward but has proven the opposite > > Many thanks > > Laura > > [[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.