Version: 1.3-0

Author: Stephane Champely [aut], Claus Ekstrom [ctb], Peter Dalgaard [ctb], Jeffrey Gill [ctb], Stephan Weibelzahl [ctb], Aditya Anandkumar [ctb], Clay Ford [ctb], Robert Volcic [ctb], Helios De Rosario [cre]

Power analysis functions along the lines of Cohen (1988).

• pwr.r.test: Power calculations for correlation test
• pwr.t.test: Power calculations for t-tests of means (one sample, two samples and paired samples)
• ES.w2: Effect size calculation in the chi-squared testfor association
• pwr.anova.test: Power calculations for balanced one-way analysis of variance tests
• pwr.f2.test: Power calculations for the general linear model
• pwr.norm.test: Power calculations for the mean of a normal distribution (known variance)
• ES.w1: Effect size calculation in the chi-squared test for goodness of fit
• pwr.2p2n.test: Power calculation for two proportions (different sample sizes)
• pwr.p.test: Power calculations for proportion tests (one sample)
• ES.h: Effect size calculation for proportions
• cohen.ES: Conventional effects size
• pwr.chisq.test: power calculations for chi-squared tests
• pwr.t2n.test: Power calculations for two samples (different sizes) t-tests of means
• pwr.2p.test: Power calculation for two proportions (same sample sizes)
• plot.power.htest: Plot diagram of sample size vs. test power