plotQQnorm: Make a Q-Q plot

In jasp-stats/jaspGraphs: Custom Graphs for JASP

Make a Q-Q plot

Description

Make a Q-Q plot

Usage

plotQQnorm(
  residuals,
  lower = NULL,
  upper = NULL,
  abline = TRUE,
  ablineOrigin = FALSE,
  ablineColor = "red",
  identicalAxes = FALSE,
  na.rm = TRUE,
  xName = gettext("Theoretical quantiles", domain = "R-jaspGraphs"),
  yName = gettext("Observed quantiles", domain = "R-jaspGraphs")
)

Arguments

residuals	Numeric vector, the residuals of the analysis.
lower	Numeric vector, lower confidence interval of each residual. If NULL, no error bars are drawn.
upper	Numeric vector, lower confidence interval of each residual. If NULL, no error bars are drawn.
abline	Logical, should an abline be drawn that best fits the points?
ablineOrigin	Logical, should an abline be drawn through the origin?
ablineColor	String, color of the abline.
identicalAxes	Logical, should the axes have the same range?
na.rm	Logical, should NA's be removed from residuals?
xName	String, name for the x-axis.
yName	String, name for the y-axis.

Details

This function is equivalent to qqnorm(residuals); qqline(residuals), but uses ggplot2 and allows for confidence bands.

Examples

x <- rnorm(100)
jaspGraphs::plotQQnorm(x)
# add a confidence interval for each point
lower <- x - .1
upper <- x + .1
jaspGraphs::plotQQnorm(x, lower, upper)

jasp-stats/jaspGraphs documentation built on April 5, 2025, 3:49 p.m.