parameters (version 0.4.0)

model_parameters.aov: ANOVAs Parameters

Description

Parameters of ANOVAs.

Usage

# S3 method for aov
model_parameters(
  model,
  omega_squared = NULL,
  eta_squared = NULL,
  epsilon_squared = NULL,
  ...
)

Arguments

model

Object of class aov, anova or aovlist.

omega_squared

Compute omega squared as index of effect size. Can be "partial" (adjusted for effect size) or "raw".

eta_squared

Compute eta squared as index of effect size. Can be "partial" (adjusted for effect size) or "raw".

epsilon_squared

Compute epsilon squared as index of effect size.

...

Arguments passed to or from other methods.

Value

A data frame of indices related to the model's parameters.

Examples

# NOT RUN {
df <- iris
df$Sepal.Big <- ifelse(df$Sepal.Width >= 3, "Yes", "No")

model <- aov(Sepal.Length ~ Sepal.Big, data = df)
model_parameters(model, omega_squared = "partial", eta_squared = "partial", epsilon_squared = TRUE)

model <- anova(lm(Sepal.Length ~ Sepal.Big, data = df))
model_parameters(model)
model_parameters(model, omega_squared = "partial", eta_squared = "partial", epsilon_squared = TRUE)

model <- aov(Sepal.Length ~ Sepal.Big + Error(Species), data = df)
model_parameters(model)

library(lme4)
model <- anova(lmer(Sepal.Length ~ Sepal.Big + (1 | Species), data = df))
model_parameters(model)
# }