The plot() method for the bayestestR::rope().
Usage
# S3 method for class 'see_rope'
plot(
x,
data = NULL,
alpha_rope = 0.5,
color_rope = "cadetblue",
show_intercept = FALSE,
n_columns = 1,
...
)Arguments
- x
An object.
- data
The original data used to create this object. Can be a statistical model.
- alpha_rope
Numeric specifying transparency level of ROPE ribbon.
- color_rope
Character specifying color 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.- ...
Arguments passed to or from other methods.
Examples
library(rstanarm)
library(bayestestR)
set.seed(123)
m <<- suppressWarnings(stan_glm(Sepal.Length ~ Petal.Width * Species, data = iris, refresh = 0))
result <- rope(m)
#> Possible multicollinearity between Petal.Width:Speciesversicolor and
#> Petal.Width (r = 0.87), Petal.Width:Speciesvirginica and
#> Petal.Width:Speciesversicolor (r = 0.79). This might lead to
#> inappropriate results. See 'Details' in '?rope'.
result
#> # Proportion of samples inside the ROPE [-0.08, 0.08]:
#>
#> Parameter | inside ROPE
#> -------------------------------------------
#> (Intercept) | 0.00 %
#> Petal.Width | 3.89 %
#> Speciesversicolor | 4.63 %
#> Speciesvirginica | 8.50 %
#> Petal.Width:Speciesversicolor | 6.79 %
#> Petal.Width:Speciesvirginica | 10.74 %
#>
plot(result)
