I think you might find, like me, that working with your data in character string form until you get it qc'd will be much easier to analyze.
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andrewH <ahoerner@rprogress.org> wrote:

Thanks Jeff! I appreciate you sharing your experience.

My data set is survey data, 13,209 records over nine years, collected by
someone else, converted from SPSS format. It includes missing values,
identified however SPSS does so, and translated to NAs by the import
process. It also includes values along the lines of "none of your business"
or "beats me" that are missing so far as I am concerned. I have assigned NAs
to these values. Now I am trying to figure out some things about where
these missing values are -- whether they are disproportionately located in
any period or group. I have been trying to get counts for subsets, but I
have not been able to make the subset counts add up to the total counts that
I get from, e.g. summary. 

So I wrote these simplified versions, and even for the simplest examples, I
could not find a function that correctly identified the NAs that I knew were
there because I put them there myself. That is why I am looking for help.
Does this make sense?

Warmest regards, andrewH


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