marginalMeans: Calculate the marginal means of different ANOVA types

In AlexSchauerte/unbANOVA: Compare ANOVA Types & Learn About their Differences in Unbalanced Designs.

Calculate the marginal means of different ANOVA types

Description

This function calculates the marginal means of x according to the different ANOVA types

Usage

marginalMeans(
  means,
  freq,
  k.levels = NULL,
  type = c("I", "II", "III", "ATE"),
  fixed = NA
)

Arguments

means	matrix of means, the columns denote the covariates and the rows the different x levels
freq	matrix of frequencies, the columns denote the covariates and the rows the different x levels
k.levels	numeric vector with the number of levels for all covariates (K1, K2, ...)
type	numeric or character vector denoting the ANOVA types to be calculated (allowed values are any of the following: "I", 1, "II", 2, "III", 3, "ATE")
fixed	numeric vector with the levels the corresponding covariates should be fixed to (NA for no fixing)

AlexSchauerte/unbANOVA documentation built on April 12, 2022, 2:40 a.m.