Anderson Darling Normality - serendio-labs/data-preprocessing-r GitHub Wiki

name: norm.p

title: Anderson-Darling Normality Test (norm.p)

usage: norm.p(my.data)

arguments: item{Numeric}{column position x in the dataframe}

value: P-value

description: Test for normality

details: Anderson-Darling Normality Test is used to determine whether a set of observations follows ‘Normal Distribution’. The assumption of ‘Normality’ is widely used in Statistics in the areas of Inferential Statistics, Parametric Methods, Modeling (i.e.) from Simple Linear Regression to advanced Predictive Modeling Techniques.