st: differentiating missing values in codebook

[Graham Wright <gwwri@brandeis.edu>]

I'm trying to use stata to produce a weighted codebook of a large 
dataset. Just a lot of one way tabs in survey mode. However, I'm having 
trouble getting the missing values to work the way I would like.
          The data was originally coded in SPSS, and missing values 
were expressed as large negative numbers (-999 etc) and given different 
labels depending on why the data is missing ("Refused," "Question not 
asked" etc). Naturally, when I run frequency commands in SPSS I get 
relative frequencies for the valid data only, but I get to see the 
missing values too. However, since we're using a complex sample design, 
I need to use stata to get the correct confidence intervals, but as far 
as I can tell, the only value that stata will accept as missing is a 
period, anything else gets included in the analysis, so I can't 
differentiate between different kinds of missing values, like I can in 
SPSS. Is there a way to get an SPSS style output (valid, missing & valid 
percent, total percent) in Stata? My hunch is that you simply can't do 
this in Stata but maybe someone knows a way.
    -Graham Wright
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