I can think of a few solutions, none perfect. * You could have a master dataset that has the missing value codes you want, and a dataset that you use which is a copy of it with real NA's in it.
* You could add an attribute that gives the types of missing values in the various positions. The downside is that attributes tend to disappear with subsetting. * If you only have two types, you might be able to get away with using NaN as the second type of NA. On 14/02/2010 14:33, John wrote:
Does anyone know, or know documentation that describes, how to declare multiple values in R as missing that does not involve coding them as NA? I wish to be able to treate values as missing, while still retaining codes that describe the reason for the value being missing. Thanks John MAcInnes ______________________________________________ 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.
-- Patrick Burns pbu...@pburns.seanet.com http://www.burns-stat.com (home of 'The R Inferno' and 'A Guide for the Unwilling S User') ______________________________________________ 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.
