Automated Transformations, Normality Testing, and Reporting
Anderson-Darling Test
Arcsine Transformation
Chi-Square Test
D'agostino Pearson Omnibus Test
Inverse/Reciprocal Transformation
Jarque-Bera Test
Kolmogorov-Smirnov-Lilliefors Test
Adjusted Fisher-Pearson Excess Sample Kurtosis
Logit/Log-Odds Transformation
Logarithmic Transformation
Master Normality Testing Function
Master Transformation Function
Converts Sample Standard Deviations into Population Equivalents
Rankit Transformation
Rita
Adjusted Fisher-Pearson Skewness Coefficient with Sample-size Correcti...
Square-root Transformation
Shapiro-Wilk Test
Automated performance of common transformations used to fulfill parametric assumptions of normality and identification of the best performing method for the user. Output for various normality tests (Thode, 2002) corresponding to the best performing method and a descriptive statistical report of the input data in its original units (5-number summary and mathematical moments) are also presented. Lastly, the Rankit, an empirical normal quantile transformation (ENQT) (Soloman & Sawilowsky, 2009), is provided to accommodate non-standard use cases and facilitate adoption. <DOI: 10.1201/9780203910894>. <DOI: 10.22237/jmasm/1257034080>.