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

Usage

# S3 method for see_check_normality
plot(
  x,
  type = c("qq", "pp", "density"),
  data = NULL,
  size_line = 0.8,
  size_point = 2,
  size_title = 12,
  size_axis_title = base_size,
  base_size = 10,
  alpha = 0.2,
  dot_alpha = 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.

size_line

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.

dot_alpha

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)