plot_fixefs: Plot coefficients with uncertainty

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

Description

This isn't really meant to be directly called, but is instead internally used by the plot_coefficients function.

Usage

plot_fixefs(
  model,
  order = "decreasing",
  sd_multi = 2,
  prob = 0.95,
  keep_intercept = FALSE,
  palette = "bilbao",
  ref_line = 0,
  trans = NULL,
  plot = TRUE,
  ...
)

## S3 method for class 'brmsfit'
plot_fixefs(
  model,
  order,
  prob,
  keep_intercept,
  palette,
  ref_line,
  trans,
  plot,
  ...
)

## S3 method for class 'merMod'
plot_fixefs(
  model,
  order,
  sd_multi,
  keep_intercept,
  palette,
  ref_line,
  trans,
  plot,
  ...
)

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.
prob	For brmsfit objects, the interval for the uncertainty level. Default is .95.
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 ggplot2 object or the effect estimates

See Also

plot_coefficients

Examples

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