Make a Q-Q plot

Make a Q-Q plot

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)