pwr: ES.w2 – R documentation

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ES.w2

Effect size calculation in the chi-squared test for association

Description

Compute effect size w for a two-way probability table corresponding to the alternative hypothesis in the chi-squared test of association in two-way contingency tables

Usage

ES.w2(P)

Arguments

`P`	A two-way probability table (alternative hypothesis)

Value

The corresponding effect size w

Author(s)

Stephane CHAMPELY

References

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale,NJ: Lawrence Erlbaum.

Examples

prob<-matrix(c(0.225,0.125,0.125,0.125,0.16,0.16,0.04,0.04),nrow=2,byrow=TRUE)
prob
ES.w2(prob)
pwr.chisq.test(w=ES.w2(prob),df=(2-1)*(4-1),N=200)

pwr

Basic Functions for Power Analysis

v1.3-0

GPL (>= 3)

Authors

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]

Initial release

2020-03-16