marginalMeans: Compute marginal means in an ANOVA design

In tdeenes/eegR: Analyze EEG Signals

Description

marginalMeans computes marginal means in ANOVA designs

Usage

marginalMeans(
  form,
  f_dat,
  a_dat,
  dimn,
  keep_term_order = FALSE,
  residualmean = FALSE,
  whichterm = NULL,
  no_icpt = FALSE
)

Arguments

form	formula of the model
f_dat	data.frame of factors
a_dat	matrix which contains the dependent variables. It must have as many rows as f_dat. Usually a_dat is the result of calling array2mat on the orginal data array.
dimn	the original dimension names for the array corresponding to the column names of a_dat
keep_term_order	logival variable whether to keep the order of the model terms as provided in form (TRUE) or all interaction terms should follow all main effect terms (FALSE, default)
residualmean	logical variable; if TRUE, each factor term is extracted from the data after computing the given marginal mean (default: FALSE)
whichterm	character, numeric or logical vector; indices of model terms which should be analyzed (default: NULL, meaning all terms are included)
no_icpt	logical value; if TRUE, global mean is subtracted before computing the marginal means (default: FALSE)

Value

A named list containing the marginal means for each model term

tdeenes/eegR documentation built on April 19, 2021, 4:17 p.m.