Data which is not normal should be transformed so that it becomes normally distributed before applying parametric tests. Some of these transformations include:
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:
> normalized_vect = boxcoxR(vect)
Where vect is a number series (vector).
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