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
References
Cohen, J. (1988). Statistical power analysis for the
behavioral sciences (2nd ed.). Hillsdale,NJ: Lawrence Erlbaum.
# NOT RUN {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)
# }