UBC-MDS/noRmtest: This is an R package that tests your data for normality!

This package will test your data for normality using a graphical and a statistical method. As a graphical method, quantile-quantile plots (Q-Q plot) will be constructed in order for you to visualize whether the data closely approximates a straight line - thereby indicating it is normally distributed. As a statistical method, the Shapiro-Wilk test score will be calculated along with the corresponding p-value. The Shapiro-Wilk test provides better power than most other statistical normality tests as long as **most of the values are unique** This package will also derive the parameters that would fit your data to a normal distribution using maximum likelihood estimation.

install.packages("remotes")
remotes::install_github("UBC-MDS/noRmtest")