Try this: split(as.data.frame(DF), is.na(DF$x))
On Fri, Oct 15, 2010 at 9:45 AM, Jumlong Vongprasert <jumlong.u...@gmail.com > wrote: > Dear all > I have data like this: > x y > [1,] 59.74889 3.1317081 > [2,] 38.77629 1.7102589 > [3,] NA 2.2312962 > [4,] 32.35268 1.3889621 > [5,] 74.01394 1.5361227 > [6,] 34.82584 1.1665412 > [7,] 42.72262 2.7870875 > [8,] 70.54999 3.3917257 > [9,] 59.37573 2.6763249 > [10,] 68.87422 1.9697770 > [11,] 19.00898 2.0584415 > [12,] 60.27915 2.5365194 > [13,] 50.76850 2.3943836 > [14,] NA 2.2862790 > [15,] 39.01229 1.7924957 > > and I want to spit data into two set of data, data set of nonmising and > data set of missing. > How I can do this. > Many Thanks. > Jumlong > > > -- > Jumlong Vongprasert > Institute of Research and Development > Ubon Ratchathani Rajabhat University > Ubon Ratchathani > THAILAND > 34000 > > [[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. > -- Henrique Dallazuanna Curitiba-Paraná-Brasil 25° 25' 40" S 49° 16' 22" O [[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.
