1. Outline READ DATA DATA STEPS MERGE DATA PROC IMPORT
PROC UNIVERIATE & PROC MEANS
PROC FREQ & PROC GCHART
ODS SYSTEM
Probability
ONE SAMPLE T-TEST
TWO SAMPLE T-TEST & NON-PARAMETRIC TEST
ANOVA
CHI-SQUIRE TEST, FISHER’S EXACT TEST
PROC CORR, PROC REG, PROC GLM

2. Read Data (I)
DATA AA; INPUT ID $ X1-X3 GENDER $; DATALINES; M M M M ;

3. Read Data (II) – create new variables
DATA newdata; SET OLDDATA; NEWVAR=LOG(X); RUN;

4. Read Data (III) PROC IMPORT From excel, CVS, etc.
PROC IMPORT OUT= WORK.dat1
DATAFILE="datafile.xls"
DBMS=EXCEL REPLACE;
GETNAMES=YES;
MIXED=NO;
SCANTEXT=YES;
USEDATE=YES;
SCANTIME=YES;
RUN;

5. Read Data – Set, Merge
DATA newdata; SET dat1 dat2; RUN; MERGE dat1 dat2; BY variables;

6. Generate data by SAS (simulation)
simulation study
Example:
DATA simunormal;
DO X=1 to 100;
Y=1+0.5*X+normal(-1);
OUTPUT;
END;
RUN;
PROC GLM;
MODEL Y=X;

7. PROC UNIVERIATE & PROC MEANS
PROC UNIVERIATE DATA=mydata NORMAL; VAR var1 var2; RUN; PROC MEANS DATA=mydata MEAN STD Q1 MEDIAN Q3;

8. PROC FREQ & PROC GCHART
PROC FREQ < options > ; BY variables ; EXACT statistic-options < / computation-options > ; OUTPUT < OUT=SAS-data-set > options ; TABLES requests < / options > ; WEIGHT variable < / option > ;
PROC GCHART<DATA=input-data-set>
BLOCK chart-variable(s) </ option(s)>;
HBAR | HBAR3D | VBAR | VBAR3Dchart-variable(s) </ option(s)>;
PIE | PIE3D | DONUT chart-variable(s) </ option(s)>;

9. ODS SYSTEM
ods rtf file=‘filename’;
ods output

10. Probability
Randomization

11. ONE SAMPLE T-TEST
PROC TTEST < options > ; CLASS variable ; PAIRED variables ; BY variables ; VAR variables ; FREQ variable ; WEIGHT variable ;

12. TWO SAMPLE T-TEST & NON-PARAMETRIC TEST
Independent sample
Dependent sample – paired ttest PROC TTEST < options > ;
CLASS variable ;
PAIRED variables ;
BY variables ;
VAR variables ;
FREQ variable ;
WEIGHT variable ;

13. ANOVA
PROC ANOVA < options > ; CLASS variables < / option > ; MODEL dependents=effects < / options > ; BY variables ;

14. CHI-SQUIRE TEST FISHER’S EXACT TEST
PROC FREQ < options > ;
BY variables ;
EXACT statistic-options < / computation-options > ;
OUTPUT < OUT=SAS-data-set > options ;
TABLES requests < / options > ;
TEST options ;
WEIGHT variable < / option > ;
TABLES Statement Options
AGREE, BINOMIAL, CHISQ, FISHER

15. PROC CORR, PROC REG, PROC GLM
PROC CORR; var x1-x10; run;
PROC REG; model y=x1-x10;
PROC GLM; class x1-x3; model y=x1-x10;
PROC MIXED

16. PROC LOGISTIC Binary or ordinal data
PROC LOGISTIC; MODEL Y = X1 X2 X3;
RUN;
Nominal data
PROC LOGISTIC; MODEL Y = X1 X2 X3 / link = glogit;