cohen.ES: Conventional effects size

Description Usage Arguments Value Author(s) References Examples

Description

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

Usage

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

Arguments

test

The statistical test of interest

size

The ES : small, medium of large?

Value

The corresponding effect size

Author(s)

Stephane CHAMPELY

References

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

Examples

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## 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")

heliosdrm/pwr documentation built on May 24, 2020, 8:44 a.m.