This sort of things are most likely covered in `An Introduction to R': newDATA <- DATA[!is.na(DATA$age),]
Andy > From: Robert Brown FM CEFAS > > I have a data set of about 10000 records which was compiled > from several smaller data sets using SPSS. During compilation > 88 false records were accidentally introduced which comprise > all NA values. I want to delete these records but not other > missing data. The functions na.exclude and na.omit seem to > remove all values of NA? How can I delete just the relevant > NA's? . i.e. I want to delete all records in the data frame > DATA where the field age contains NA values > > Regards, > > Robert Brown > > ______________________________________________ > [EMAIL PROTECTED] mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > > ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
