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PING
0.9
Statistical data handling and processing in production environment
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Return the number of missing and non-missing values of a given variable in a dataset.
dsn : a dataset reference;var : a field name whose information is provided;lib : (option) output library; default: lib is set to WORK._count_, _nmiss_ : (option) names of the macro variables used to store the count or non-missing and missing values of the var variable in the dataset respectively; though both optional, one at least should be passed.
Let us consider the table _dstest28:
| geo | value |
|---|---|
| ' ' | 1 |
| AT | . |
| BG | 2 |
| '' | 3 |
| FR | . |
| IT | 5 |
then we can find the number of non-missing/missing value by running:
which returns count=4 and nmiss=2.
Run macro %_example_var_count for more examples.