pwr-package {pwr} | R Documentation |
Power calculations along the lines of Cohen (1988) using in particular the same notations for effect sizes. Examples from the book are given.
Package: | pwr |
Type: | Package |
Version: | 1.1 |
Date: | 2007-01-31 |
License: | GPL version 2 or newer |
This package contains functions for basic power calculations using effect sizes and notations from Cohen (1988) : pwr.p.test : test for one proportion (ES=h) pwr.2p.test : test for two proportions (ES=h) pwr.t.test : t tests for means (ES=d) pwr.t2n.test : two samples (different sizes) t test for means (ES=d) pwr.anova.test : test for one-way balanced anova (ES=f) pwr.r.test : correlation test (ES=r) pwr.chisq.test : Chi-squared test (ES=w) pwr.f2.test : test for the general linear model (ES=f2)
Stéphane Champely (based on previous works by Claus Ekstrom and Peter Dalgaard)
Maintainer: Stéphane Champely <champely@univ-lyon1.fr>
J. Cohen (1988) Statistical power analysis for the behavioral sciences. Lawrence Erlbaum Associates, publishers.
## Exercise 8.1 P. 357 from Cohen (1988) pwr.anova.test(f=0.28,k=4,n=20,sig.level=0.05) ## Exercise 6.1 p. 198 from Cohen (1988) pwr.2p.test(h=0.3,n=80,sig.level=0.05,alternative="greater") ## Exercise 7.3 p. 251 pwr.chisq.test(w=0.346,df=(2-1)*(3-1),N=140,sig.level=0.01) ## Exercise 6.5 p. 203 from Cohen (1988) pwr.p.test(h=0.2,n=60,sig.level=0.05,alternative="two.sided")