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The MEANS procedure computes of a variety of statistical measures across all or groups of observations in a dataset.
Various options in the MEANS procedure make it possible to report statistics of zero (0) where no observations exist in the source, without needing to generate a cartesian product of the desired reporting categories.
The MEANS procedure is very similar to the SUMMARY procedure. The main difference between the two procedures is how they behave if the VAR statement is omitted. In the MEANS procedure, if the VAR statement is omitted then the procedure attempts to produces statistics for all numeric variables in the dataset. If all variables are categorical (character or alphnumeric) then a count of observations is produced.
- PROC MEANS <options> <statistics keyword(s)> ;
- RUN statement ;
- Statements shown in italics are optional. Not all statements are necessary and some statements may be omitted or statement order may be changed. This could affect the behaviour of the procedure.
- PROC MEANS <option(s)> <statistic-keyword(s)>;
- BY <DESCENDING> variable-1<…<DESCENDING> variable-n> <NOTSORTED>;
- CLASS variable(s) </ option(s)>;
- FREQ variable;
- ID variable(s);
- OUTPUT <OUT=SAS-data-set><output-statistic-specification(s)> <id-group-specification(s)> <maximum-id-specification(s)> <minimum-id-specification(s)> </ option(s)> ;
- TYPES request(s);
- VAR variable(s)</ WEIGHT=weight-variable>;
- WAYS list;
- WEIGHT variable;
The MEANS procedure is a computationally intensive procedure and has the potential to run for a long time, consume all available memory and produce large output datatsets, depending on the options chosen, even with a comparatively small input dataset.
- Beware Missing Values of Class Levels in PROC MEANS
- The Essential Meaning of PROC MEANS: A Beginner's Guide to Summarizing Data Using SAS® Software
- Adding statistics to the PROC MEANS/SUMMARY default output dataset.
- FREQ and WEIGHT Statements
- Missing Values in Classification Variables
- PROC MEANS - Improve on the default
- PROC MEANS ignores format widths in output
- Replacing Missing with Mean
- Statistical Models for Identifying Aberrant Utilization Patterns