Normality Tests

Compute and return information on tests for the normality of data.

Usage

normality_tests(
  x,
  tests = c("shapiro", "ks", "ad", "cvm", "lilliefors", "pearson", "sf")
)

Arguments

x

Vector of numerics to check normality

tests

Vector of strings, or a string, indicating the tests to check. Options include 'shapiro', 'ks', 'ad', 'cvm', 'lilliefors', 'pearson', and 'sf'

Value

A list of qqplot and normality test results

Details

Tests require independent data unless otherwise specified. shapiro: Shapiro-Wilk test ks: Kolmogorov-Smirnov test ad: Anderson-Darling test cvm: Cramer-von Mises test lilliefors: lilliefors test pearson: Pearson chi-square test sf: Shapiro-Francia test

See also

stats::shapiro.test(), stats::ks.test(), nortest::ad.test(), nortest::cvm.test(), nortest::lillie.test(), nortest::pearson.test(), nortest::sf.test()

Examples

x <- c(rnorm(14, sd = 2), rnorm(6), rnorm(20, mean = 2))
normality_tests(x)
#> $qqplot

#> 
#> $shapiro
#> [1] 0.2270045
#> 
#> $ks
#> [1] 0.000311607
#> 
#> $ad
#> [1] 0.2235118
#> 
#> $cvm
#> [1] 0.2508239
#> 
#> $lilliefors
#> [1] 0.2323053
#> 
#> $pearson
#> [1] 0.602679
#> 
#> $sf
#> [1] 0.2044254
#>