# plot.see_bayesfactor_models: Plot method for Bayes Factors for model comparison In see: Model Visualisation Toolbox for 'easystats' and 'ggplot2'

 plot.see_bayesfactor_models R Documentation

## Plot method for Bayes Factors for model comparison

### Description

The `plot()` method for the `bayestestR::bayesfactor_models()` function. These plots visualize the posterior probabilities of the compared models.

### Usage

``````## S3 method for class 'see_bayesfactor_models'
plot(
x,
n_pies = c("one", "many"),
value = c("none", "BF", "probability"),
sort = FALSE,
log = FALSE,
prior_odds = NULL,
...
)
``````

### Arguments

 `x` An object. `n_pies` Number of pies. `value` What value to display. `sort` The behavior of this argument depends on the plotting contexts. Plotting model parameters: If `NULL`, coefficients are plotted in the order as they appear in the summary. Setting `sort = "ascending"` or `sort = "descending"` sorts coefficients in ascending or descending order, respectively. Setting `sort = TRUE` is the same as `sort = "ascending"`. Plotting Bayes factors: Sort pie-slices by posterior probability (descending)? `log` Logical that decides whether to display log-transformed Bayes factors. `prior_odds` An optional vector of prior odds for the models. See `BayesFactor::priorOdds`. As the size of the pizza slices corresponds to posterior probability (which is a function of prior probability and the Bayes Factor), custom `prior_odds` will change the slices' size. `...` Arguments passed to or from other methods.

### Value

A ggplot2-object.

### Examples

``````library(bayestestR)
library(see)

lm0 <- lm(qsec ~ 1, data = mtcars)
lm1 <- lm(qsec ~ drat, data = mtcars)
lm2 <- lm(qsec ~ wt, data = mtcars)
lm3 <- lm(qsec ~ drat + wt, data = mtcars)

result <- bayesfactor_models(lm1, lm2, lm3, denominator = lm0)

plot(result, n_pies = "one", value = "probability", sort = TRUE) +
scale_fill_pizza(reverse = TRUE)

plot(result, n_pies = "many", value = "BF", log = TRUE) +
scale_fill_pizza(reverse = FALSE)
``````

see documentation built on June 7, 2023, 5:20 p.m.