cohen.ES: Conventional effects size
In skuma18/rpacakge: Basic Functions for Power Analysis

Description Usage Arguments Value Author(s) References Examples

Give the conventional effect size (small, medium, large) for the tests available in this package

1 2	cohen.ES(test = c("p", "t", "r", "anov", "chisq", "f2"), size = c("small", "medium", "large"))

`test`	The statistical test of interest
`size`	The ES : small, medium of large?

The corresponding effect size

Stephane CHAMPELY

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

## medium effect size for the correlation test
cohen.ES(test="r", size="medium")

## sample size for a medium size effect in the two-sided correlation test
## using the conventional power of 0.80
pwr.r.test(r=cohen.ES(test="r",size="medium")$effect.size,
  power=0.80, sig.level=0.05, alternative="two.sided")