ksnormal: Kolmogorov-Smirnov-Test against Normal distribution

In wrappedtools: Useful Wrappers Around Commonly Used Functions

Kolmogorov-Smirnov-Test against Normal distribution

Description

ksnormal is a convenience function around ks.test, testing against Normal distribution. If less than 2 values are provided, NA is returned.

Usage

ksnormal(x, lillie = TRUE)

Arguments

x	Vector of data to test.
lillie	Logical, should the Lilliefors test be used? Defaults to TRUE

Value

p.value from ks.test.

Examples

# original ks.test:
ks.test(
  x = mtcars$wt, pnorm, mean = mean(mtcars$wt, na.rm = TRUE),
  sd = sd(mtcars$wt, na.rm = TRUE)
)
# wrapped version:
ksnormal(x = mtcars$wt, lillie=FALSE)

wrappedtools documentation built on Oct. 10, 2024, 5:07 p.m.