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;