Base SAS 9.1.3 Procedures Guide - Acsu Buffalo

32 Computational Requirements for Statistics 4 Chapter 2
Statistic Description Procedures
robust statistics
trimmed means,
Winsorized means
UNIVARIATE
SKEWNESS skewness MEANS/SUMMARY, TABULATE, UNIVARIATE
Spearman correlation
CORR
STD standard deviation CORR, MEANS/SUMMARY, REPORT, SQL,
TABULATE, UNIVARIATE
STDERR
the standard error of
the mean
MEANS/SUMMARY, REPORT, SQL, TABULATE,
UNIVARIATE
SUM sum CORR, MEANS/SUMMARY, REPORT, SQL,
TABULATE, UNIVARIATE
SUMWGT sum of weights CORR, MEANS/SUMMARY, REPORT, SQL,
TABULATE, UNIVARIATE
tests of location
USS
uncorrected sum of
squares
UNIVARIATE
CORR, MEANS/SUMMARY, REPORT, SQL,
TABULATE, UNIVARIATE
VAR variance CORR, MEANS/SUMMARY, REPORT, SQL,
TABULATE, UNIVARIATE
Computational Requirements for Statistics
The following requirements are computational requirements for the statistics that
are listed in Table 2.1 on page 31. They do not describe recommended sample sizes.
3 N and NMISS do not require any nonmissing observations.
3 SUM, MEAN, MAX, MIN, RANGE, USS, and CSS require at least one nonmissing
observation.
3 VAR, STD, STDERR, and CV require at least two observations.
3 CV requires that MEAN is not equal to zero.
Statistics are reported as missing if they cannot be computed.
Output Delivery System
What Is the Output Delivery System?
The Output Delivery System (ODS) gives you greater flexibility in generating,
storing, and reproducing SAS procedure and DATA step output, with a wide range of
formatting options. ODS provides formatting functionality that is not available from
individual procedures or from the DATA step alone. ODS overcomes these limitations
and enables you to format your output more easily.