... but I *think* merge(A, B, by = "name", all = TRUE)
is what you want. Rows of NA's correspond to rows that were in one but not the other. Bert Gunter "The trouble with having an open mind is that people keep coming along and sticking things into it." -- Opus (aka Berkeley Breathed in his "Bloom County" comic strip ) On Sun, Jun 13, 2021 at 2:38 PM Gregg Powell via R-help < r-help@r-project.org> wrote: > This is even complicated to write into a question.... > > Have two data.frames (A and B) > > data.frame A and B each have a name column. Want to compare A and B > data.frame to each other based on the values in the 'names' columns - for > every name that appears in dataframe A but not B, I want to copy the > corresponding rows to a third dataframe C, and for every name that appears > in B but not A, I want to copy the corresponding rows to a fourth dataframe > D. I can then row bind the dataframes C and D together and get a complete > list of all the rows that were missing in either A or B. > > try as I might - I can't get this to work. Can someone help P-L-E-A-S-E!!!! > > > Thanks, > Gregg Powell > AZ, USA______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
