Hi r-help-boun...@r-project.org napsal dne 13.01.2010 23:15:05:
> > I have a file like this: > id n1 n2 n3 n4 n5 n6 > 1 3 4 7 8 10 2 > 2 4 1 2 4 3 10 > 3 7 0 0 0 0 8 > 4 10 1 0 0 2 3 > 5 11 1 0 0 0 5 > > what I want to do is: only if n2=0 and n3=0 and n4=0 and n5=0 then delete > the row. how can I do that? Why do you complicate things for yourself. Few days ago you wanted put zeroes instead of NA values. R has quite extensive capabilities how to handle NA values so your.na.data <- your.data[your.data==0]<-NA # returns NA instead zero values. chosen.one <- complete.cases(your.na.data[,2:5]) # makes a logical vector that is TRUE only if your.na.data does not have NA value in it. your.data[chosen.one,] or your.na.data[chosen.one,] # selects rows without NA values. Or you can use na.omit, na.rm or other NA handling facility provided with many functions. What about to read few pages from R intro manual where you can find how to start with data manipulation. Regards Petr > > thank you, > > karena > -- > View this message in context: http://n4.nabble.com/a-question-about-deleting- > rows-tp1013403p1013403.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. ______________________________________________ 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.
