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**This page was adapted from a page titled SAS Programs created by Professor Michael
Friendly of York University . We thank Professor
Friendly for permission to adapt and distribute this page via our web site.**

SAS Procedures exist to carry out all the forms of statistical analysis. A procedure is invoked in a "PROC step" which starts with the
keyword` PROC`, such as:

PROC MEANS DATA=CLASS; VAR HEIGHT WEIGHT;

The `VAR` or `VARIABLES` statement can be used with all procedures to
indicate which variables are to be analyzed. If this statement is omitted, the default is
to include * all variables *of the appropriate type (character or numeric) for
the given analysis.

Some other statements that can be used with most SAS procedure steps are:

- BY variable(s);
- Causes the procedure to be repeated automatically for
different value of the named variable(s). The data set must first be sorted by those variables.**each** - ID variable(s);
- Give the name of a variable to be used as an observation
**ID**entifier. - LABEL var='label';
- Assign a descriptive label to a variable.
- WHERE (expression);
- Select only those observations for which the expression is true.

For example, the following lines produce separate means for males and females, with the variable SEX labelled 'Gender'. (An ID statement is not appropriate, because PROC MEANS produces only summary output.)

PROC SORT DATA=CLASS; BY SEX; RUN;

PROC MEANS DATA=CLASS; VAR HEIGHT WEIGHT; BY SEX; LABEL SEX='Gender'; RUN;

If the `DATA=` option is not used, SAS procedures process the most recently
created dataset. In the brief summaries below, the required portions of a PROC step are
shown in **bold**. Only a few representative options are shown.

- PROC CORR
- Correlations among a set of variables.
**PROC CORR**DATA=*SASdataset options***;***options:*NOMISS ALPHA VAR*variable(s)*; WITH*variable(s)*; - PROC FREQ
- Frequency tables,
*chi ²*tests**PROC FREQ**DATA=*SASdataset***;**TABLES*variable(s) / options*;*options:*NOCOL NOROW NOPERCENT OUTPUT OUT=*SASdataset*; - PROC MEANS
- Means, standard deviations, and a host of other univariate statistics for a set of
variables.
**PROC MEANS**DATA=*SASdataset options***;***options:*N MEAN STD MIN MAX SUM VAR CSS USS VAR*variable(s)*; BY*variable(s)*; OUTPUT OUT=*SASdataset keyword=variablename ...*;Statistical options on the PROC MEANS statement determine which statistics are printed. The (optional) OUTPUT statement is used to create a SAS dataset containing the values of these statistics.

- PROC UNIVARIATE
- Univariate statistics and displays for a set of variables.
**PROC UNIVARIATE**DATA=*SASdataset options***;***options:*PLOT VAR*variable(s)*; BY*variable(s)*; OUTPUT OUT=*SASdataset keyword=variablename ...*;

SAS statements and options for regression (PROC REG) are described in more detail in the document PROC REG Summary. SAS statements and options for analysis of variance (PROC ANOVA and PROC GLM) described in the document PROC ANOVA and PROC GLM.

- PROC ANOVA
- Analysis of variance (balanced designs)
**PROC ANOVA**DATA=*SASdataset options***;****CLASS**;*variable(s)***MODEL**=*dependent(s)*;**effect(s)** - PROC GLM
- General linear models, including ANOVA, regression and analysis of covariance models.
**PROC GLM**DATA=*SASdataset options***;**CLASS*variable(s)*;**MODEL**=**dependent(s)**; OUTPUT OUT=**effect(s)***SASdataset keyword=variablename ...*; - PROC REG
- Regression analysis
**PROC REG**DATA=*SASdataset options***;****MODEL****dependent(s) = regressors***/ options*; PLOT*variable | keyword.***variable | keyword.*= symbol ; OUTPUT OUT=*SASdataset*P=name R=name ... ;

- PROC CHART
- Histograms and bar charts
**PROC CHART**DATA=*SASdataset options***;**VBAR*variable / options*; HBAR*variable / options*;*options:*MIDPOINTS= GROUP= SUMVAR= - PROC PLOT
- Scatter plots
**PROC PLOT**DATA=*SASdataset options***;***options:*HPERCENT= VPERCENT=**PLOT****yvariable**=**xvariable***symbol / options*; PLOT*(yvariables)***(xvariables)*=*symbol / options*;*PLOT options:*BOX OVERLAY VREF= HREF= BY*variable(s)*;Note that the parenthesized form in the PLOT statement plots

**each**y-variable listed against each x-variable.

- PROC PRINT
- Print a SAS data set
**PROC PRINT**DATA=*SASdataset options***;***options:*UNIFORM LABEL SPLIT='char' VAR*variable(s)*; BY*variable(s)*; SUM*variable(s)*; - PROC SORT
- Sort a SAS data set according to one or more variables.
**PROC SORT**DATA=*SASdataset options***;***options:*OUT=**BY**;**variable(s)**