plot.see_parameters_model: Plot method for model parameters

In see: Visualisation Toolbox for 'easystats' and Extra Geoms, Themes and Color Palettes for 'ggplot2'

Plot method for model parameters

Description

The plot() method for the parameters::model_parameters() function.

Usage

## S3 method for class 'see_parameters_model'
plot(
  x,
  show_intercept = FALSE,
  size_point = 0.8,
  size_text = NA,
  sort = NULL,
  n_columns = NULL,
  type = c("forest", "funnel"),
  weight_points = TRUE,
  show_labels = FALSE,
  show_estimate = TRUE,
  show_interval = TRUE,
  show_density = FALSE,
  log_scale = FALSE,
  ...
)

## S3 method for class 'see_parameters_sem'
plot(
  x,
  data = NULL,
  component = c("regression", "correlation", "loading"),
  type = component,
  threshold_coefficient = NULL,
  threshold_p = NULL,
  ci = TRUE,
  size_point = 22,
  ...
)

Arguments

x	An object.
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.
size_point	Numeric specifying size of point-geoms.
size_text	Numeric value specifying size of text labels.
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)?
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.
type	Character indicating the type of plot. Only applies for model parameters from meta-analysis objects (e.g. metafor).
weight_points	Logical. If TRUE, for meta-analysis objects, point size will be adjusted according to the study-weights.
show_labels	Logical. If TRUE, text labels are displayed.
show_estimate	Should the point estimate of each parameter be shown? (default: TRUE)
show_interval	Should the compatibility interval(s) of each parameter be shown? (default: TRUE)
show_density	Should the compatibility density (i.e., posterior, bootstrap, or confidence density) of each parameter be shown? (default: FALSE)
log_scale	Should exponentiated coefficients (e.g., odds-ratios) be plotted on a log scale? (default: FALSE)
...	Arguments passed to or from other methods.
data	The original data used to create this object. Can be a statistical model.
component	Character indicating which component of the model should be plotted.
threshold_coefficient	Numeric, threshold at which value coefficients will be displayed.
threshold_p	Numeric, threshold at which value p-values will be displayed.
ci	Logical, whether confidence intervals should be added to the plot.

Value

A ggplot2-object.

Examples

library(parameters)
m <- lm(mpg ~ wt + cyl + gear + disp, data = mtcars)
result <- model_parameters(m)
result
plot(result)

see documentation built on March 31, 2022, 5:07 p.m.