Documentation Example 5 for PROC POWER
/****************************************************************/
/* S A S S A M P L E L I B R A R Y */
/* */
/* NAME: pwrex05 */
/* TITLE: Documentation Example 5 for PROC POWER */
/* (Multiple Regression and Correlation) */
/* PRODUCT: STAT */
/* SYSTEM: ALL */
/* KEYS: power */
/* sample size */
/* power analysis */
/* linear regression */
/* least squares */
/* Pearson correlation */
/* Fisher's z */
/* graphs */
/* PROCS: POWER */
/* DATA: */
/* */
/* SUPPORT: John Castelloe */
/* REF: */
/* MISC: Graphs produced by ODS Graphics in PROC POWER */
/* require a style that distinguishes curves based */
/* on a combination of color, line style, and symbol */
/* marker. Styles that are well-suited for use in */
/* PROC POWER include: STATISTICAL, ANALYSIS, DEFAULT, */
/* LISTING, and HTMLBLUECML. */
/****************************************************************/
*
ods listing style=htmlbluecml;
ods graphics on;
proc power;
multreg
model = random
nfullpredictors = 7
ntestpredictors = 1
partialcorr = 0.35
ntotal = 100
power = .;
plot x=n min=50 max=150;
run;
ods graphics off;
proc power;
onecorr dist=fisherz
npvars = 6
corr = 0.35
nullcorr = 0.2
sides = 1
ntotal = 100
power = .;
run;
proc power;
onecorr dist=fisherz
npvars = 6
corr = 0.35
nullcorr = 0.2
sides = 1
ntotal = .
power = 0.85 0.95;
run;