FOCUS AREAS

Categorical Data Analysis: Chapter 1


data respire;
   input treat $ outcome $ count;
   datalines;
placebo f 16
placebo u 48 
test    f 40 
test    u 20
; 


proc freq;
   weight count;
   tables treat*outcome;
run;

data respire;
   input treat $ outcome $ @@;
   datalines;
placebo f placebo f  placebo f  
placebo f placebo f 
placebo u placebo u  placebo u 
placebo u placebo u  placebo u 
placebo u placebo u  placebo u 
placebo u 
test    f test    f  test    f 
test    f test    f  test    f  
test    f test    f
test    u test    u  test    u
test    u test    u  test    u
test    u test    u  test    u
test    u test    u  test    u
test    u test    u  test    u
test    u test    u  test    u
test    u test    u 
; 


proc freq;
   tables treat*outcome;
run;

data arthritis;           
   length treatment $7. sex $6. ;    
   input sex $ treatment $ improve $ count @@;
   datalines;  
female active  marked 16 female active  some 5 female active  none  6
female placebo marked  6 female placebo some 7 female placebo none 19
male   active  marked  5 male   active  some 2 male   active  none  7
male   placebo marked  1 male   placebo some 0 male   placebo none 10
; 


proc freq order=data;
   weight count;
   tables treatment*improve;
run; 

proc freq order=data;
   weight count;
   tables sex*treatment*improve / nocol nopct;
run;