Wim Bertels <[EMAIL PROTECTED]> wrote in news:[EMAIL PROTECTED]:
> Hallo, > > i get a warning message that NAs are introduced by coercion, > so my idea is to write a function to see which values are turned > into NA > > For this i need to write a function to go through (loop) the > original data and the transformed (with the introduced na) to see > which data were transformed to NA. > So the return of this function should be a 2*many matrix like > structure, eg > names: indexolddata, valueolddata > 45, 789 > 89, 4568 > and so on > (on the data that were transformed into an NA) > > I am doing something wrong. Try to build on this: x <- data.frame(var1=1:10,var2=11:20) x[5,2]<-NA x[7,2]<-NA row(x)[is.na(x)] returns [1] 5 7 If you wanted the whole row, you would use that vector as a row index: x[row(x)[is.na(x)],] returns: var1 var2 5 5 NA 7 7 NA -- David Winsemius ______________________________________________ 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.
