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. A simple example:> test2 <- function(d) {+ v <- vector() + for (i in 1:length(d)) { + e.csv .RData .Rhistory + append(v, i , after=i) + e.csv .RData .Rhistory + } + v + } # why a get file listing running this code, no idea, anyway i continue> temp <- test2(data) > templogical(0) # so no data? # but ..> length(data)[1] 3240 What am i doing wrong? Thank u.
Wim Bertels <wim.bertels at khleuven.be> wrote in news:1205233503.5326.26.camel at localhost:> 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
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