SAS Notes

Contents: Random Numbers in SAS; Data Sub-setting; Method for Select a Random Sample; Missing values replacement with Means of the respective Variables; Logistic Regression with SAS; SAS made easy using Proc SQL; SAS PROC SQL procedure to access external ODBC data sources; SAS String Data Handling
External Resources: Macro Seminar - UCLA; Logistic regression
Some Interesting SAS SQL Examples: SAS Dinosaur - Old and New way of SAS progrming; Paul Dicman's Web Page for SAS- This little old discusses SAS 8, but useful; Global Statements Dictionary - Alphabatical listing and Description of SAS Key words

Selection of 2 random samples from a dataset

data Sample1 sample2;

j=1; n1=0; n2=0; /* n1, n2 are smaple sizes Suppose we want to have 2 male and female samples of 100 each*/

do while ((n1+n2)< 200);

Slice=int(69514*ranuni(-1)); /* This is # of observations in your data set */

set mydataset point=Slice; /* u have to replace mydataset with one of your existing dataset here*/

if gender=1 and n1<=100) then do;

output sample1;

n1=n1+1;

end;

else if (n2<=100) then do;

output sample2;

n2=n2+1;

end;

stop;

drop j n1 n2;

run;