plot_qq_plot: Create Q-Q plot

In power.transform: Location and Scale Invariant Power Transformations

Create Q-Q plot

Description

Create a figure that plots the expected, theoretical normal quantiles (z-scores) against the observed normal quantiles (z-scores) of the data.

Usage

plot_qq_plot(
  x,
  transformer,
  show_original = TRUE,
  show_identity = TRUE,
  use_alpha = TRUE,
  ggtheme = NULL
)

Arguments

x	A vector with numeric values that should be transformed to normality.
transformer	A transformer object created using find_transformation_parameters.
show_original	Show quantiles for original, untransformed, data in addition to transformed data.
show_identity	Show identity line that indicates equivalence between expected and observed quantiles.
use_alpha	Use transparency for points in case the data contains many instances.
ggtheme	ggplot2 theme to use for the plot. If not provided, ggplot2::theme_light is used.

Value

A ggplot2 plot object for a Q-Q plot.

Examples

x <- exp(stats::rnorm(1000))
transformer <- find_transformation_parameters(
  x = x,
  method = "box_cox")

if (rlang::is_installed("ggplot2")) {
  plot_qq_plot(
    x = x,
    transformer = transformer
  )
}

power.transform documentation built on April 12, 2025, 5:08 p.m.