kaallen wrote: > > Hi, > > I am working on a data set which looks like this: > >> head(temp) > Day Month Year PW ROW > 1 1 1 1959 NA 6.40 > 2 2 1 1959 6.65 6.35 > 3 3 1 1959 2.50 3.60 > 4 4 1 1959 0.60 2.25 > 5 5 1 1959 0.85 0.30 > 6 6 1 1959 0.00 2.20 > > I am trying to extract all the rows containing NA. I can extrat all the > rows without NAs in column 4 using > >> PWna<-temp[complete.cases(temp[,4]),] >> head(PWna) > Day Month Year PW ROW > 2 2 1 1959 6.65 6.35 > 3 3 1 1959 2.50 3.60 > 4 4 1 1959 0.60 2.25 > 5 5 1 1959 0.85 0.30 > 6 6 1 1959 0.00 2.20 > 7 7 1 1959 1.40 1.65 > > But can't figure out how to extract the rows WITH the NAs. Can anyone > advise me? > > Thanks in advance >
I am sure others will have cleaner approaches but how about .... # Data temp = data.frame(Day=1:6,Month=1, Year=c(NA,1959,NA,1959,1959,1959), PW=c(6,7,8,NA,10,11)) # Extract Any Row Containing an NA myNAs = temp[apply(temp,1,function(x) any(is.na(x))),] HTH Pete -- View this message in context: http://r.789695.n4.nabble.com/Extracting-dataframe-rows-containing-NAs-in-one-column-tp3937361p3937523.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.
