pwr.f2.test: Power calculations for the general linear model

In pwr: Basic Functions for Power Analysis

Description

Compute power of test or determine parameters to obtain target power (same as power.anova.test).

Usage

pwr.f2.test(u = NULL, v = NULL, f2 = NULL, sig.level = 0.05, power = NULL)

Arguments

u	degrees of freedom for numerator
v	degrees of freedom for denominator
f2	effect size
sig.level	Significance level (Type I error probability)
power	Power of test (1 minus Type II error probability)

Details

Exactly one of the parameters 'u','v','f2','power' and 'sig.level' must be passed as NULL, and that parameter is determined from the others. Notice that the last one has non-NULL default so NULL must be explicitly passed if you want to compute it.

Value

Object of class '"power.htest"', a list of the arguments (including the computed one) augmented with 'method' and 'note' elements.

Note

'uniroot' is used to solve power equation for unknowns, so you may see errors from it, notably about inability to bracket the root when invalid arguments are given.

Author(s)

Stephane Champely <[e-mail]> but this is a mere copy of Peter Dalgaard work (power.t.test)

References

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

Examples

## Exercise 9.1 P. 424 from Cohen (1988)
pwr.f2.test(u=5,v=89,f2=0.1/(1-0.1),sig.level=0.05)

pwr documentation built on March 17, 2020, 5:11 p.m.