plot_coefficients.lm: Plot coefficients for standard linear models.

In m-clark/visibly: Functions and palettes related to visual enhancement

Description

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

Usage

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

## S3 method for class '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.

Details

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

Value

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

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')

m-clark/visibly documentation built on Oct. 28, 2020, 5:33 p.m.