R: Tidy a(n) margins object

tidy.margins {broom}

R Documentation

Tidy a(n) margins object

Description

Tidy summarizes information about the components of a model. A model component might be a single term in a regression, a single hypothesis, a cluster, or a class. Exactly what tidy considers to be a model component varies across models but is usually self-evident. If a model has several distinct types of components, you will need to specify which components to return.

Usage

## S3 method for class 'margins'
tidy(x, conf.int = FALSE, conf.level = 0.95, ...)

Arguments

`x`	A `margins` object returned from `margins::margins()`.
`conf.int`	Logical indicating whether or not to include a confidence interval in the tidied output. Defaults to `FALSE`.
`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.
`...`	Additional arguments. Not used. Needed to match generic signature only. Cautionary note: Misspelled arguments will be absorbed in `...`, where they will be ignored. If the misspelled argument has a default value, the default value will be used. For example, if you pass `conf.lvel = 0.9`, all computation will proceed using `conf.level = 0.95`. Two exceptions here are: `tidy()` methods will warn when supplied an `exponentiate` argument if it will be ignored. `augment()` methods will warn when supplied a `newdata` argument if it will be ignored.

Details

The margins package provides a way to obtain coefficient marginal effects for a variety of (non-linear) models, such as logit or models with multiway interaction terms. Note that the glance.margins() method requires rerunning the underlying model again, which can take some time. Similarly, an augment.margins() method is not currently supported, but users can simply run the underlying model to obtain the same information.

Value

A tibble::tibble() with columns: