plot.see_check_normality: Plot method for check model for (non-)normality of residuals

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

Plot method for check model for (non-)normality of residuals

Description

The plot() method for the performance::check_normality() function.

Usage

## S3 method for class 'see_check_normality'
plot(
  x,
  type = c("qq", "pp", "density"),
  data = NULL,
  linewidth = 0.8,
  size_point = 2,
  size_title = 12,
  size_axis_title = base_size,
  base_size = 10,
  alpha = 0.2,
  alpha_dot = 0.8,
  colors = c("#3aaf85", "#1b6ca8"),
  detrend = TRUE,
  method = "ell",
  ...
)

Arguments

x	An object.
type	Character vector, indicating the type of plot. Options are "qq" (default) for quantile-quantile (Q-Q) plots, "pp" for probability-probability (P-P) plots, or "density" for density overlay plots.
data	The original data used to create this object. Can be a statistical model.
linewidth	Numeric value specifying size of line geoms.
size_point	Numeric specifying size of point-geoms.
base_size, size_axis_title, size_title	Numeric value specifying size of axis and plot titles.
alpha	Numeric value specifying alpha level of the confidence bands.
alpha_dot	Numeric value specifying alpha level of the point geoms.
colors	Character vector of length two, indicating the colors (in hex-format) for points and line.
detrend	Logical that decides if Q-Q and P-P plots should be de-trended (also known as worm plots).
method	The method used for estimating the qq/pp bands. Default to "ell" (equal local levels / simultaneous testing - recommended). Can also be one of "pointwise" or "boot" for pointwise confidence bands, or "ks" or "ts" for simultaneous testing. See qqplotr::stat_qq_band() for details.
...	Arguments passed to or from other methods.

Value

A ggplot2-object.

See Also

See also the vignette about check_model().

Examples

library(performance)

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


plot(result, type = "qq", detrend = TRUE)

see documentation built on April 4, 2025, 1:34 a.m.