It would be best if you could demonstrate _with_ _code_ the sort of operation you propose.
David Sent from my iPhone > On Apr 23, 2017, at 1:07 PM, Bruce Ratner PhD <b...@dmstat1.com> wrote: > > R-helpers: > I'm reading "Advanced R" (Wickham), which provides his way, quoted below, of > keeping variables. This cherry-picking approach clearly is not practical with > a large dataset. > > "If you know the columns you don’t want, use set operations to work out which > colums to keep: df[setdiff(names(df), "z")]" > > I'm looking for a way of producing an output of 1000 plus variables, such > that I can get a clean listing of variables, not like from st(), that are > easily copy-pastable for selecting the variables I want to keep. > > Any suggestion is appreciated. > Thanks. > Bruce > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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 -- To UNSUBSCRIBE and more, see 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.
