plot.see_p_function: Plot method for plotting p-functions (aka consonance...

In see: Model Visualisation Toolbox for 'easystats' and 'ggplot2'

Plot method for plotting p-functions (aka consonance functions)

Description

The plot() method for the parameters::p_function ().

Usage

## S3 method for class 'see_p_function'
plot(
  x,
  colors = c("black", "#1b6ca8"),
  size_point = 1.2,
  size_line = c(0.7, 0.9),
  size_text = 3,
  line_alpha = 0.15,
  show_labels = TRUE,
  n_columns = NULL,
  show_intercept = FALSE,
  ...
)

Arguments

x	An object returned by parameters::p_function ().
colors	Character vector of length two, indicating the colors (in hex-format) used when only one parameter is plotted, resp. when panels are plotted as facets.
size_point	Numeric specifying size of point-geoms.
size_line	Numeric value specifying size of line geoms.
size_text	Numeric value specifying size of text labels.
line_alpha	Numeric value specifying alpha of lines indicating the emphasized compatibility interval levels (see ?parameters::p_function).
show_labels	Logical. If TRUE, text labels are displayed.
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.
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.
...	Arguments passed to or from other methods.

Value

A ggplot2-object.

Examples

library(parameters)
model <- lm(Sepal.Length ~ Species + Sepal.Width + Petal.Length, data = iris)
result <- p_function(model)
plot(result, n_columns = 2, show_labels = FALSE)

result <- p_function(model, keep = "Sepal.Width")
plot(result)

see documentation built on Sept. 11, 2024, 5:51 p.m.