PROC MEANS Means, standard deviations, and a host of other univariate statistics for a set of PROC FREQ Frequency tables, chi tests PROC FREQ DATA= SASdataset PROC CORR DATA= SASdataset options options:NOMISS ALPHA Descriptive statistics PROC CORR Correlations among a set of variables. Only a few representative options are shown. In the brief summaries below, the required portions of a PROC step are If the DATA= option is not used, SAS procedures process the most recentlyĬreated dataset. Produces only summary output.) PROC SORT DATA=CLASS (An ID statement is not appropriate, because PROC MEANS WHERE (expression) Select only those observations for which the expression is true.įor example, the following lines produce separate means for males and females, with the LABEL var=’label’ Assign a descriptive label to a variable. ID variable(s) Give the name of a variable to be used as an observation IDentifier. The data set must first be sorted by those variables. Some other statements that can be used with most SAS procedure steps are: BY variable(s) Causes the procedure to be repeated automatically for eachdifferent value To include all variablesof the appropriate type (character or numeric) for If this statement is omitted, the default is Indicate which variables are to be analyzed. The VAR or VARIABLES statement can be used with all procedures to Keyword PROC, such as: PROC MEANS DATA=CLASS A procedure is invoked in a “PROC step” which starts with the SAS Procedures exist to carry out all the forms of statistical analysis. We thank Professor Friendly for permission to adapt and distribute this page via our web site. This page was adapted from a page titled SAS Programs created by Professor Michaelįriendly of York University.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |