tidy.coeftest: Tidy a(n) coeftest object

Description Usage Arguments Value See Also Examples

View source: R/lmtest-tidiers.R

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 cross 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

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## S3 method for class 'coeftest'
tidy(x, ...)

Arguments

x

A coeftest object returned from lmtest::coeftest().

...

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. Additionally, if you pass newdata = my_tibble to an augment() method that does not accept a newdata argument, it will use the default value for the data argument.

Value

A tibble::tibble() with columns:

estimate

The estimated value of the regression term.

p.value

The two-sided p-value associated with the observed statistic.

statistic

The value of a T-statistic to use in a hypothesis that the regression term is non-zero.

std.error

The standard error of the regression term.

term

The name of the regression term.

See Also

tidy(), lmtest::coeftest()

Examples

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library(lmtest)

data(Mandible)
fm <- lm(length ~ age, data = Mandible, subset = (age <= 28))

lmtest::coeftest(fm)
tidy(coeftest(fm))

dgrtwo/broom documentation built on Sept. 9, 2018, 5:22 p.m.