marginaleffects (version 0.3.4)

plot.marginaleffects: Point-range plot of average marginal effects

Description

Uses the ggplot2 package to draw a point-range plot of the average marginal effects computed by tidy.

Usage

# S3 method for marginaleffects
plot(x, conf.int = TRUE, conf.level = 0.95, ...)

Arguments

x

An object produced by the marginaleffects function.

conf.int

Logical indicating whether or not to include a confidence interval.

conf.level

The confidence level to use for the confidence interval if conf.int=TRUE. Must be strictly greater than 0 and less than 1. Defaults to 0.95, which corresponds to a 95 percent confidence interval.

...

The "Model-Specific Arguments" section below gives a list of arguments which can modify the behavior of this function for certain models (e.g., mixed-effects or bayesian).

Value

A ggplot2 object

Details

The tidy function calculates average marginal effects by taking the mean of all the unit-level marginal effects computed by the marginaleffects function.

Examples

# NOT RUN {
mod <- glm(am ~ hp + wt, data = mtcars)
mfx <- marginaleffects(mod)
plot(mfx)

# }