Read the Support functions for model extensions vignette.
Usage
.es_aov_simple(
aov_table,
type = c("eta", "omega", "epsilon"),
partial = TRUE,
generalized = FALSE,
include_intercept = FALSE,
ci = 0.95,
alternative = "greater",
verbose = TRUE
)
.es_aov_strata(
aov_table,
DV_names,
type = c("eta", "omega", "epsilon"),
partial = TRUE,
generalized = FALSE,
include_intercept = FALSE,
ci = 0.95,
alternative = "greater",
verbose = TRUE
)
.es_aov_table(
aov_table,
type = c("eta", "omega", "epsilon"),
partial = TRUE,
generalized = FALSE,
include_intercept = FALSE,
ci = 0.95,
alternative = "greater",
verbose = TRUE
)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").