R: Effect size calculation in the chi-squared test for goodness...

ES.w1 {pwr} | R Documentation

## 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))

[Package pwr version 1.2-2 Index]