pwr: Basic functions for power analysis

Stephane Champely (Developer), Claus Ekstrom (Developer), Peter Dalgaard (Developer), Jeffrey Gill (Developer), Stephan Weibelzahl (Developer), Aditya Anandkumar (Developer), Clay Ford (Developer), Robert Volcic (Developer), Helios De Rosario (Developer)

Research output: Non-textual formSoftware

Abstract

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.2p2n.test: test for two proportions (ES=h, unequal sample sizes) pwr.t.test: one sample and two samples (equal sizes) 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) ES.h: computing effect size h for proportions tests ES.w1: computing effect size w fort he goodness of fit chi-squared test ES.w2: computing effect size w for the association chi-squared test cohen.ES: computing effect sizes for all the previous tests corresponding to conventional effect sizes (small, medium, large).
Original languageEnglish (US)
Media of outputOnline
StatePublished - 2017

Keywords

  • R
  • Power analysis

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