getDesignRepeatedANOVAContrast: Power and Sample Size for One-Way Repeated Measures ANOVA...

In lrstat: Power and Sample Size Calculation for Non-Proportional Hazards and Beyond

Power and Sample Size for One-Way Repeated Measures ANOVA Contrast

Description

Obtains the power and sample size for a single contrast in one-way repeated measures analysis of variance.

Usage

getDesignRepeatedANOVAContrast(
  beta = NA_real_,
  n = NA_real_,
  ngroups = 2,
  means = NA_real_,
  stDev = 1,
  corr = 0,
  contrast = NA_real_,
  meanContrastH0 = 0,
  rounding = TRUE,
  alpha = 0.025
)

Arguments

beta	The type II error.
n	The total sample size.
ngroups	The number of treatment groups.
means	The treatment group means.
stDev	The total standard deviation.
corr	The correlation among the repeated measures.
contrast	The coefficients for the single contrast.
meanContrastH0	The mean of the contrast under the null hypothesis.
rounding	Whether to round up sample size. Defaults to 1 for sample size rounding.
alpha	The one-sided significance level. Defaults to 0.025.

Value

An S3 class designRepeatedANOVAContrast object with the following components:

• power: The power to reject the null hypothesis for the treatment contrast.

• alpha: The one-sided significance level.

• n: The number of subjects.

• ngroups: The number of treatment groups.

• means: The treatment group means.

• stDev: The total standard deviation.

• corr: The correlation among the repeated measures.

• contrast: The coefficients for the single contrast.

• meanContrastH0: The mean of the contrast under the null hypothesis.

• meanContrast: The mean of the contrast under the alternative hypothesis.

• effectsize: The effect size.

• rounding: Whether to round up sample size.

Author(s)

Kaifeng Lu, [e-mail]

Examples

(design1 <- getDesignRepeatedANOVAContrast(
  beta = 0.1, ngroups = 4, means = c(1.5, 2.5, 2, 0),
  stDev = 5, corr = 0.2, contrast = c(1, 1, 1, -3)/3,
  alpha = 0.025))

lrstat documentation built on Aug. 8, 2025, 7:36 p.m.