pwr (version 1.2-2)

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

References

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

See Also

pwr.chisq.test

Examples

# NOT RUN {
## 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))
# }