pwr.summary: Power for model coefficients

In pwr4exp: Power Analysis for Research Experiments

Power for model coefficients

Description

Computes the statistical power for testing (t-test) model coefficients.

Usage

pwr.summary(object, sig.level = 0.05)

Arguments

object	design object
sig.level	significance level, default 0.05

Value

a data frame containing model coefficients, degrees of freedom (df), type I error rate (sig.level), power, and the test direction (alternative).

Examples

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
)
pwr.summary(rcbd)

pwr4exp documentation built on April 4, 2025, 1:46 a.m.