OPTIONS LINESIZE = 80;
  /*Set the width for 8.5 x 11 paper                               */
 
TITLE 'Example 2: SAS Short Course Notes';
TITLE2 'Using the existing SAS dataset from Example 1';
 
LIBNAME sasdata '.';

DATA scores;
  SET sasdata.test;
 
  IF wgt = . THEN LIST;
 
  IF  gender = 'M' THEN testotal = testotal + 10;
  IF  gender = 'F' THEN testotal = testotal + 20;
 
IF wgt =  . THEN wtclass =  .  ;
  ELSE IF wgt GE 0 and wgt LT 160 THEN wtclass = 1 ;
  ELSE IF wgt GE 160 THEN wtclass = 2 ;
 
PROC PRINT; TITLE2 'List out all current data, showing effect of IFs';
 
PROC SORT DATA= scores;
 BY gender;
 
PROC MEANS DATA=scores;
 BY gender;  VAR testotal;
 TITLE2 'Descriptive statistics listed separately for each gender';
 
PROC TTEST;    CLASS wtclass;     VAR testotal;
 TITLE2 'T-Test of testotal by High vs. Low weight';
 
PROC FREQ;
 TABLES wtclass * age;
 TITLE2 'Crosstabulation, weight by age';
 
PROC PLOT;
 PLOT wgt*testotal=gender;
 TITLE2 'Weight vs. total score labeled by gender';
 
/******************************************************************/
/* THIS SAS COMMAND FILE DOES THE FOLLOWING:                      */
/*                                                                */
/*     Creates a temporary SAS dataset called SCORES, containing  */
/*  the same information as in the permanent dataset MYLIB.TESTS. */
/*     Writes a copy of any observation with WGT missing to the   */
/* LOG.                                                           */
/*     Adds 10 points to the total of test scores for men and 20  */
/* points to the test scores of women.                            */
/*     Creates a dichotomous variable WTCLASS based on WGT        */
/* scores.                                                        */
/*     Sorts the data by the variable "gender".                   */
/*     Produces descriptive statistics separately for male and    */
/* female participants.  (You must first sort by gender, as in    */
/* the SORT command above.)                                       */
/*     Runs a t-test to see if there are significant differences  */
/* in test scores between those in the high weight category and   */
/* those in the low weight category.                              */
/*       Constructs a crosstab (conditional frequency) table of   */
/* weight by age.                                                 */
/*       Draws a scatterplot of weight by age, labeled by gender. */

/* If you need assistance with SAS please contact the statistical */
/* consultants at the ITC Research Computing Support Center at    */
/*         244 Wilson Hall - 243-8000  M-F 9-5 or                 */
/*            mail res-consult@virginia.edu                       */