README.md

normality

Build
Status

17 standard normality tests in a single wrapper.

Installation

You can use devtools to install normality directly from the github repo

library(devtools)
install_github("alastairrushworth/normality")

Usage

Generate some normal data and perform the normality tests.

library(normality)

set.seed(2019)
normality(rnorm(100))
## # A tibble: 17 x 3
##    Test                                           statistic p.value
##    <chr>                                              <dbl>   <dbl>
##  1 Adjusted Jarque-Bera test for normality           2.81     0.188
##  2 Anderson-Darling normality test                   0.445    0.278
##  3 Anscombe-Glynn kurtosis test                      3.33     0.333
##  4 Bonett-Seier test for Geary kurtosis              0.707    0.536
##  5 Cramer-von Mises normality test                   0.0819   0.194
##  6 D'Agostino skewness test                          0.342    0.146
##  7 Frosini test for normality                        0.212    0.263
##  8 Geary test for normality                          0.785    0.772
##  9 Hegazy-Green test for normality                   0.0874   0.311
## 10 Jarque-Bera test for normality                    2.41     0.210
## 11 Lilliefors (Kolmogorov-Smirnov) normality test    0.0779   0.143
## 12 Minimum Hellinger Distance normality test         0.0776   0.466
## 13 Pearson chi-square normality test                 9.98     0.442
## 14 Shapiro-Francia normality test                    0.986    0.303
## 15 Shapiro-Wilk normality test                       0.987    0.427
## 16 Spiegelhalter test for normality                  1.27     0.233
## 17 Weisberg-Bingham test for normality               0.986    0.292


alastairrushworth/normality documentation built on Oct. 14, 2019, 2:48 p.m.