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see (version 0.6.8)

plot.see_check_outliers: Plot method for checking outliers

Description

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,
  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.

dot_alpha

Numeric value specifying alpha level of the confidence bands and 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.

show_labels

Logical. If TRUE, text labels are displayed.

...

Arguments passed to or from other methods.

Value

A ggplot2-object.

Examples

Run this code
# NOT RUN {
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))
# }

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