Become an expert in R — Interactive courses, Cheat Sheets, certificates and more!
Get Started for Free

ES.w1

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


Description

Compute effect size w for two sets of k probabilities P0 (null hypothesis) and P1 (alternative hypothesis)

Usage

ES.w1(P0, P1)

Arguments

P0

First set of k probabilities (null hypothesis)

P1

Second set of k probabilities (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.

See Also

pwr.chisq.test

Examples

## Exercise 7.1 p. 249 from Cohen 
P0<-rep(1/4,4)
P1<-c(0.375,rep((1-0.375)/3,3))
ES.w1(P0,P1)
pwr.chisq.test(w=ES.w1(P0,P1),N=100,df=(4-1))

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

We don't support your browser anymore

Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.