ES.w2: Effect size calculation in the chi-squared test for...
In heliosdrm/pwr: Basic Functions for Power Analysis
ES.w2 R Documentation
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.
See Also
pwr.chisq.test
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)
heliosdrm/pwr documentation built on Jan. 10, 2024, 9:10 p.m.
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| ES.w2 | R Documentation |
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.
See Also
pwr.chisq.test
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)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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