<>
Jacob wants to see if a variable has missing values, and wrote a
program to do so. I don't think that's really necessary. Using an
expanded version of his test data,
+-------------------------------+
| bad good strbad strgood |
|-------------------------------|
1. | 0 0 0 0 |
2. | . 1 1 |
3. | . 3 a b |
4. | 1 2 c d |
+-------------------------------+
. foreach v of varlist _all {
2. qui count if missing(`v')
3. di "`v' `r(N)' "
4. }
bad 2
good 0
strbad 1
strgood 0
The function missing() does the trick just fine if you consider what
it does: return true (1) or false (0) for each observation.
Kit Baum | Boston College Economics & DIW Berlin | http://ideas.repec.org/e/pba1.html
An Introduction to Stata Programming
| http://www.stata-press.com/books/isp.html
An Introduction to Modern Econometrics Using Stata | http://www.stata-press.com/books/imeus.html
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