View source: R/plot.p_significance.R
plot.see_p_significance | R Documentation |
The plot()
method for the bayestestR::p_significance()
function.
## S3 method for class 'see_p_significance'
plot(
x,
data = NULL,
show_intercept = FALSE,
priors = FALSE,
priors_alpha = 0.4,
n_columns = 1,
...
)
x |
An object. |
data |
The original data used to create this object. Can be a statistical model. |
show_intercept |
Logical, if |
priors |
Logical. If |
priors_alpha |
Numeric value specifying alpha for the prior distributions. |
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 |
... |
Arguments passed to or from other methods. |
A ggplot2-object.
library(rstanarm)
library(bayestestR)
set.seed(123)
m <<- suppressWarnings(stan_glm(Sepal.Length ~ Petal.Width * Species, data = iris, refresh = 0))
result <- p_significance(m)
plot(result)
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