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Usage

.es_aov_simple(
  aov_table,
  type = c("eta", "omega", "epsilon"),
  partial = TRUE,
  generalized = FALSE,
  ci = 0.95,
  alternative = "greater",
  verbose = TRUE,
  include_intercept = FALSE
)

.es_aov_strata(
  aov_table,
  DV_names,
  type = c("eta", "omega", "epsilon"),
  partial = TRUE,
  generalized = FALSE,
  ci = 0.95,
  alternative = "greater",
  verbose = TRUE,
  include_intercept = FALSE
)

.es_aov_table(
  aov_table,
  type = c("eta", "omega", "epsilon"),
  partial = TRUE,
  generalized = FALSE,
  ci = 0.95,
  alternative = "greater",
  verbose = TRUE,
  include_intercept = FALSE
)

Arguments

aov_table

Input data frame

type

Which effect size to compute?

partial, generalized, ci, alternative, verbose

See eta_squared().

include_intercept

Should the intercept ((Intercept)) be included?

DV_names

A character vector with the names of all the predictors, including the grouping variable (e.g., "Subject").