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Residual vs. leverage plot.

Usage

stat_resid_leverage(
  mapping = ggplot2::aes(),
  alpha = 0.5,
  method = "loess",
  se = FALSE,
  linecolor = "steelblue",
  ...
)

Arguments

mapping

Additional aesthetic mappings to add to the layer, e.g. aes(color = some_var). If mapping includes a required aesthetic (e.g. x, y), the supplied value is ignored in favor of the default and a warning is issued.

alpha

Adjust transparency of points.

method

Method for fitting the line to the points.

se

Keep standard error bands around line?

linecolor

Color of the line.

...

Additional arguments passed on to geom_point().

Value

A ggplot2 layer for plotting a fitted vs. residual scatter plot.

Examples

data(mtcars)
model <- lm(mpg ~ cyl + disp + hp, data = mtcars)
ggplot2::ggplot(data = model) + stat_resid_leverage()