I have a number of datasets with slightly different columns and I'm wondering if I can wrote generic code in PSPP to count the missing columns.
For example, if I knew that the first and last column were, say, ID and X100, then I could count the missing this way: count miss = ID to X100 (MISSING). execute. But if I don't know the variable names, is there a way to specify all columns? The PSPP manual suggests using DESCRIPTIVES which is clever but that won't create a column in the dataset (will it?). If you're wondering why I'd want this, I'd like to use this code in automatically resolving duplicates by keeping the duplicated case with the most data. -Alan -- Alan D. Mead, Ph.D. President, Talent Algorithms Inc. science + technology = better workers +815.588.3846 (Office) +267.334.4143 (Mobile) http://www.alanmead.org Announcing the Journal of Computerized Adaptive Testing (JCAT), a peer-reviewed electronic journal designed to advance the science and practice of computerized adaptive testing: http://www.iacat.org/jcat _______________________________________________ Pspp-users mailing list Pspp-users@gnu.org https://lists.gnu.org/mailman/listinfo/pspp-users
