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.
