Plot coefficients for standard linear models.

Source: R/plot_coefficients.lm.R

A basic plot of coefficients with their uncertainty interval for lm and glm objects.

# S3 method for lm
plot_coefficients(
  model,
  order = "decreasing",
  sd_multi = 2,
  keep_intercept = FALSE,
  palette = "bilbao",
  ref_line = 0,
  trans = NULL,
  plot = TRUE,
  ...
)

# S3 method for glm
plot_coefficients(
  model,
  order = "decreasing",
  sd_multi = 2,
  keep_intercept = FALSE,
  palette = "bilbao",
  ref_line = 0,
  trans = NULL,
  plot = TRUE,
  ...
)

Arguments

model

The lm or glm model
order

The order of the plots- "increasing", "decreasing", or a numeric vector giving the order. The default is NULL, i.e. the default ordering. Not applied to random effects.
sd_multi

For non-brmsfit objects, the multiplier that determines the width of the interval. Default is 2.
keep_intercept

Default is FALSE. Intercepts are typically on a very different scale than covariate effects.
palette

A scico palette. Default is 'bilbao'.
ref_line

A reference line. Default is zero.
trans

A transformation function to be applied to the coefficients (e.g. exponentiation).
plot

Default is TRUE, but sometimes you just want the data.
...

Other arguments applied for specific methods.

Value

A ggplot of the coefficients and their interval estimates. Or the data that would be used to create the plot.

Details

This is more or less a function that serves as the basis for other models I actually use.

See also

Other model visualization: plot_coefficients.brmsfit(), plot_coefficients.merMod(), plot_coefficients(), plot_gam_2d(), plot_gam_3d(), plot_gam_check(), plot_gam()

Other model visualization: plot_coefficients.brmsfit(), plot_coefficients.merMod(), plot_coefficients(), plot_gam_2d(), plot_gam_3d(), plot_gam_check(), plot_gam()

Examples

mod = lm(mpg ~ ., mtcars)
plot_coefficients(mod, order = 'increasing')