[R] where are these NAs coming from?

[jim holtman]

At least provide a reproducible example by creating the problem with a
subset of 'z' and 'mycountry'

Could something like this be happening?

> x <- data.frame(country = 1:5, language = 1:5)
> mycountry <- NA
> z <- x[x$country == mycountry,]
> z
     country language
NA        NA       NA
NA.1      NA       NA
NA.2      NA       NA
NA.3      NA       NA
NA.4      NA       NA


On Wed, Sep 19, 2012 at 1:50 PM, Sam Steingold <sds at gnu.org> wrote:
> I see this:
> --8<---------------cut here---------------start------------->8---
>> length(which(is.na(z$language)))
> [1] 0
>> locals <- z[z$country == mycountry,]
>> length(which(is.na(locals$language)))
> [1] 229
> --8<---------------cut here---------------end--------------->8---
> where are those locals without the language coming from?!
>
> --
> Sam Steingold (http://sds.podval.org/) on Ubuntu 12.04 (precise) X 11.0.11103000
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> and provide commented, minimal, self-contained, reproducible code.



-- 
Jim Holtman
Data Munger Guru

What is the problem that you are trying to solve?
Tell me what you want to do, not how you want to do it.