?match > T.v <- sample(1:20) > C.df <- data.frame(a=1:10, b= sample(1:20, 10)) > T.v [1] 10 12 9 4 14 11 19 2 18 5 16 6 7 17 8 20 1 13 3 15 > C.df a b 1 1 10 2 2 17 3 3 8 4 4 5 5 5 2 6 6 16 7 7 19 8 8 7 9 9 18 10 10 14 > # find the missing values > T.v[is.na(match(T.v, C.df[,2]))] [1] 12 9 4 11 6 20 1 13 3 15 >
On Fri, Sep 5, 2008 at 2:57 PM, Rajasekaramya <[EMAIL PROTECTED]> wrote: > > Hi there > > I have two object on is a vector T and the other is dataframe C. > vector T has more no of rows when comapred with a dataframe Ccolumn[,2].I > want to find the the missing rows in dataframe C.That is those values that > are not matchig in dataframe C[,2] > > Kindly give me suggestion on how to go about it. > > Ramya > > -- > View this message in context: > http://www.nabble.com/comparing-two-files-tp19337486p19337486.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > 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. > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What is the problem that you are trying to solve? ______________________________________________ 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.