Plot method for checking model assumptions

The plot() method for the performance::check_model() function. Diagnostic plots for regression models.

# S3 method for class 'see_check_model'
plot(
  x,
  style = theme_lucid,
  colors = NULL,
  type = c("density", "discrete_dots", "discrete_interval", "discrete_both"),
  n_columns = 2,
  ...
)

Arguments

x: An object.
style: A ggplot2-theme.
colors: Character vector of length two, indicating the colors (in hex-format) for points and line.
type: Plot type for the posterior predictive checks plot. Can be "density" (default), "discrete_dots", "discrete_interval" or "discrete_both" (the discrete_* options are appropriate for models with discrete - binary, integer or ordinal etc. - outcomes).
n_columns: Number of columns to align plots.
...: Arguments passed to or from other methods.

Value

A ggplot2-object.

Examples

library(performance)

model <- lm(qsec ~ drat + wt, data = mtcars)
plot(check_model(model))
#> Ignoring unknown labels:
#> • size : ""

Arguments

Value

See also

Examples