anderson_darling_test: Run an Anderson-Darling Test

In RobbyLankford/tidytest: Tidy Statistical Modeling Tests

Run an Anderson-Darling Test

Description

A wrapper around nortest::ad.test() that standardizes the inputs and outputs.

Usage

anderson_darling_test(object, ..., .alpha = 0.05)

## S3 method for class 'lm'
anderson_darling_test(object, ..., .alpha = 0.05)

## S3 method for class ''_lm''
anderson_darling_test(object, ..., .alpha = 0.05)

## S3 method for class ''_glm''
anderson_darling_test(object, ..., .alpha = 0.05)

anderson_darling_test_vec(x, ..., .alpha = 0.05)

Arguments

object	A model object (such as a fitted lm object).
...	Not currently used.
.alpha	(Optional) Critical p-value used to determine test conclusion. The default is 0.05 (5%).
x	For ⁠_vec()⁠ functions, a numeric vector.

Details

The hypotheses for this test are:

• Null: Follows a Normal Distribution

• Alternative: Does Not Follow a Normal Distribution

Value

A tibble with columns test, statistic, p_value, result, outcome, and .notes with extra information.

See Also

Other normality tests: shapiro_wilk_test()

Examples

library(tidytest)

#> `lm` Method
mod_lm_fit <- lm(mpg ~ disp + wt + hp, data = mtcars)

anderson_darling_test(mod_lm_fit)

#> `linear_reg` Method
library(parsnip)

mod_linreg_fit <- linear_reg() %>%
  set_engine("lm") %>%
  fit(mpg ~ disp + wt + hp, data = mtcars)

anderson_darling_test(mod_linreg_fit)

#> Numeric Method
set.seed(1914)
resids <- rnorm(100)

anderson_darling_test_vec(resids)

RobbyLankford/tidytest documentation built on Jan. 27, 2024, 7:36 a.m.