R language Access Menu

Converting non-normal to normal distributions

Data which is not normal should be transformed so that it becomes normally distributed before applying parametric tests. Some of these transformations include: 

  • lognormal (or log base e or ln) (Y)
  • 1 / Y
  • square (Y)
  • 1 / square (Y)
  • square root (Y) 
  • 1 / square root (Y)

Box-Cox transformation is a convenient method that detects the deviation and applies the appropriate transformation to data. The package fifer provides a convenient function for this: 

code: 

> library(fifer)
> normalized_vect = boxcoxR(vect)

Where vect is a number series (vector). 


    Comments & Feedback