Learn R Programming

pwr (version 1.3-0)

Basic Functions for Power Analysis

Description

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

Copy Link

Version

Install

install.packages('pwr')

Monthly Downloads

35,091

Version

1.3-0

License

GPL (>= 3)

Issues

8

Pull Requests

0

Stars

103

Forks

19

Maintainer

Helios De Rosario

Last Published

March 17th, 2020

Functions in pwr (1.3-0)

plot.power.htest

Plot diagram of sample size vs. test power
pwr.2p.test

Power calculation for two proportions (same sample sizes)
pwr.2p2n.test

Power calculation for two proportions (different sample sizes)
pwr-package

Basic Functions for Power Analysis pwr
pwr.t2n.test

Power calculations for two samples (different sizes) t-tests of means
ES.w1

Effect size calculation in the chi-squared test for goodness of fit
pwr.t.test

Power calculations for t-tests of means (one sample, two samples and paired samples)
pwr.f2.test

Power calculations for the general linear model
ES.h

Effect size calculation for proportions
pwr.p.test

Power calculations for proportion tests (one sample)
ES.w2

Effect size calculation in the chi-squared test for association
pwr.anova.test

Power calculations for balanced one-way analysis of variance tests
pwr.chisq.test

power calculations for chi-squared tests
pwr.norm.test

Power calculations for the mean of a normal distribution (known variance)
pwr.r.test

Power calculations for correlation test
cohen.ES

Conventional effects size