Plot method for checking outliers — plot.see_check

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

Usage

# S3 method for see_check_outliers
plot(
  x,
  size_text = 3.5,
  size_line = 0.8,
  size_title = 12,
  size_axis_title = base_size,
  base_size = 10,
  dot_alpha = 0.8,
  colors = c("#3aaf85", "#1b6ca8", "#cd201f"),
  rescale_distance = TRUE,
  type = c("dots", "bars"),
  show_labels = TRUE,
  ...
)

Arguments

x: An object.
size_text: Numeric value specifying size of text labels.
size_line: Numeric value specifying size of line geoms.
base_size, size_axis_title, size_title: Numeric value specifying size of axis and plot titles.
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.
rescale_distance: Logical. If TRUE, distance values are rescaled to a range from 0 to 1. This is mainly due to better catch the differences between distance values.
type: Character vector, indicating the type of plot. Options are "dots" (default) for a scatterplot of leverage (hat) values versus residuals, with Cook's Distance contours for evaluating influential points, or "bars" for a bar chart of (rescaled) outlier statistic values for each data point. Only used for outlier plots of fitted models; for outlier plots of raw data values, type = "bars" is always used.
show_labels: Logical. If TRUE, text labels are displayed.
...: Arguments passed to or from other methods.

Value

A ggplot2-object.

Examples

library(performance)
data(mtcars)
mt1 <- mtcars[, c(1, 3, 4)]
mt2 <- rbind(
  mt1,
  data.frame(mpg = c(37, 40), disp = c(300, 400), hp = c(110, 120))
)
model <- lm(disp ~ mpg + hp, data = mt2)
plot(check_outliers(model))