17 standard normality tests in a single wrapper.
You can use devtools to install normality directly from the github
repo
library(devtools)
install_github("alastairrushworth/normality")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