Dear All, I assume this is an R-devel issue, apologies if I missed something obvious. I have a dataframe where the row names are country codes, based on ISO 3166, something like this:
------------ "v1" "v2" "UK" 1 2 "NA" 2 3 ------------ It happens that "NA" is the country code for "Namibia", and that creates problems on using this data within a package due to this: Error in read.table(zfile, header = TRUE, as.is = FALSE) : missing values in 'row.names' are not allowed I realise that NA is reserved in R, but I assumed that when quoted it would be usable. For the moment I simply changes the country code, but I wonder if there's any (other) solution to circumvent this issue. Thanks very much in advance, Adrian -- Adrian Dusa Romanian Social Data Archive 1, Schitu Magureanu Bd. 050025 Bucharest sector 5 Romania Tel.:+40 21 3126618 \ +40 21 3120210 / int.101 Fax: +40 21 3158391 ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
