Basic Functions for Power Analysis


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Documentation for package ‘pwr’ version 1.3-0

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pwr-package Basic Functions for Power Analysis pwr
cohen.ES Conventional effects size
ES.h Effect size calculation for proportions
ES.w1 Effect size calculation in the chi-squared test for goodness of fit
ES.w2 Effect size calculation in the chi-squared test for association
plot.power.htest Plot diagram of sample size vs. test power
pwr Basic Functions for Power Analysis pwr
pwr.2p.test Power calculation for two proportions (same sample sizes)
pwr.2p2n.test Power calculation for two proportions (different sample sizes)
pwr.anova.test Power calculations for balanced one-way analysis of variance tests
pwr.chisq.test power calculations for chi-squared 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)
pwr.p.test Power calculations for proportion tests (one sample)
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)
pwr.t2n.test Power calculations for two samples (different sizes) t-tests of means