![]() ![]() Using Options we can request additional statistics. So by default as shown above, the MEANS procedure produce N ( the number of non-missing observations), Mean, Standard Deviation, Minimum and Maximum for all numeric variables in the input SAS dataset. We have submitted below Means procedure code for STUDENT data set without providing any statistics keywords & options. Suppose we have SAS dataset STUDENTS having 14 Observations, 3 Numeric type & 2 Character type variables. OUTPUT create an output dataset that contains specified statistics and identification variables.ID include additional identification variables in the output dataset.CLASS identify variables whose values define subgroups for the analysis report.BY calculate separate statistics for each BY group.VAR identify the analysis variables and their order in the results.Option(s) control the content, output analysis & appearance of output.Statistic-keyword(s)specify the statistics to compute eg.SAS-data-set is the name of the SAS data set to be used for Means Procedure.However, Means procedure is much more versatile and can be used to create output summary data sets, which can be used in other DATA or PROC steps in SAS. Descriptive Statistics such as the sum, min, max and means of your numeric variables data. SAS MEANS procedure a way to generate summary reports. SAS MEANS procedure also provides helpful options for controlling your output. provide useful information about numeric data (Numeric Variable). In this blog we will explore the different use of MEANS procedure in SAS.Äescriptive Statistics such as the Sum, Average, Minimum, Maximum, Range, Standard deviation etc. ![]()
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