Plot method for (conditional) equivalence testing

The plot() method for the bayestestR::equivalence_test() function.

Usage

# S3 method for class 'see_equivalence_test_effectsize'
plot(x, ...)

# S3 method for class 'see_equivalence_test'
plot(
  x,
  color_rope = "#0171D3",
  alpha_rope = 0.2,
  show_intercept = FALSE,
  n_columns = 1,
  ...
)

# S3 method for class 'see_equivalence_test_lm'
plot(
  x,
  size_point = 0.7,
  color_rope = "#0171D3",
  alpha_rope = 0.2,
  show_intercept = FALSE,
  n_columns = 1,
  ...
)

Arguments

x

An object.

...

Arguments passed to or from other methods.

color_rope

Character specifying color of ROPE ribbon.

alpha_rope

Numeric specifying transparency level of ROPE ribbon.

show_intercept

Logical, if TRUE, the intercept-parameter is included in the plot. By default, it is hidden because in many cases the intercept-parameter has a posterior distribution on a very different location, so density curves of posterior distributions for other parameters are hardly visible.

n_columns

For models with multiple components (like fixed and random, count and zero-inflated), defines the number of columns for the panel-layout. If NULL, a single, integrated plot is shown.

size_point

Numeric specifying size of point-geoms.

Value

A ggplot2-object.

Examples

library(effectsize)
m <- aov(mpg ~ factor(am) * factor(cyl), data = mtcars)
result <- eta_squared(m)
plot(result)