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normality (version 0.0.1)

Anderson_Darling_test: Anderson-Darling Normality Test

Description

Anderson-Darling Normality Test

Usage

Anderson_Darling_test(x, alpha = 0.05, min_n = 8, verbose = FALSE)

Value

A list:

  • is_normal: Is the input data normally distributed?

  • method: The name of the test.

  • alpha: Significance threshold (default: 0.05).

  • alternative: The alternative hypothesis (H1) to test.

  • summary_table: Statistic summary, if any. Mostly output as a data frame.

  • statistic: The value used to calculate p-value.

  • pvalue: The p value.

  • confidence_interval: The lower and upper bound of confidence interval (CI).

Arguments

x

A numeric vector.

alpha

Numeric (default: 0.05). Significance threshold, range from 0 to 1.

min_n

Integer. The minimum observations required (default: 8).

verbose

Logical (default: FALSE). Show messages.

References

D’Agostino, RalphB., 2017. Goodness-of-Fit Techniques, page 123-128 & 372-373. 1st ed. Routledge. https://doi.org/10.1201/9780203753064

Examples

Run this code
Anderson_Darling_test(leghorn_chick)

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