That would help, otherwise you can use your output from PROC FREQ/TABULATE into a data step for the last three columns which is almost exactly like you typed it out. You never showed us what your starting data looks like. However, when some variables in the dataset are numeric, Proc MEANS analyses all numeric variables not listed in any of the other statements and produces default statistics for these variables (N, Mean, Standard Deviation, Minimum and Maximum). The first three columns would come out by default from PROC FREQ or MEANS. When all variables in the data set are character the same output: a simple count of observations, is produced for each procedure. The second difference between the two procedures is reflected in the omission of the VAR statement. Inclusion of the print option on the Proc SUMMARY statement will output results to the output window. computes a two-sided 90 percent confidence limit for the mean values of MoneyRaised and HoursVolunteered for the three years of data. summarize, visualize, analyze, and model the statistical distributions of numeric variables. Proc MEANS by default produces printed output in the LISTING window or other open destination whereas Proc SUMMARY does not. specifies the field width and number of decimal places of the statistics. Used to explore the data distributions of variables. The main difference concerns the default type of output they produce. We can compartmentalise our data results using the by. Both procedures compute descriptive statistics. proc means datamat013.mmm N mean std min max sum var css uss var age heightinmetres run. Proc SUMMARY and Proc MEANS are essentially the same procedure.
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