Message-ID: <CAJ=0CtBXsC22CW8_UnyYvsi-w9PJc=iXYQbW6srC0d3VYs0O2Q@mail.gmail.com>
Date: 2012-04-05T11:03:15Z
From: Adrian Dusa
Subject: "NA" vs. NA
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