pwr.anova: Power of omnibus tests

In pwr4exp: Power Analysis for Research Experiments

Power of omnibus tests

Description

Calculates the statistical power for testing the overall effects of treatment factors and their interactions, i.e., power of F-test.

Usage

pwr.anova(object, sig.level = 0.05, type = c("III", "II", "I", "3", "2", "1"))

Arguments

object	a design object created in pwr4exp
sig.level	significance level, default 0.05
type	the type of ANOVA table requested, default Type III

Value

a data frame with numerator degrees of freedom (NumDF), denominator degrees of freedom (DenDF), type I error rate (sig.level), and power.

See Also

mkdesign, designCRD, designRCBD, designLSD, designCOD, designSPD, pwr.summary and pwr.contrast

Examples

# generate an RCBD
rcbd <- designRCBD(
  treatments = c(2, 2),
  label = list(facA = c("1", "2"), facB = c("1", "2")),
  blocks = 12,
  formula = ~ facA*facB + (1|block),
  means = c(32, 35, 30, 37),
  vcomp = 4,
  sigma2 = 6
)
# power of omnibus test
pwr.anova(rcbd)

pwr4exp documentation built on Nov. 11, 2025, 5:13 p.m.