Applies a normalisation method from bestNormalize to rows of a matrix — transform_bestNormalise

Applies an chosen normalisation method to each feature (row) in a matrix, via the bestNormalize package.

Usage

transform_bestNormalise_manual(mat, method, return_matrix_only = FALSE, ...)

Arguments

mat: Numeric matrix.
method: Character, name of the normalisation method to apply. Possible values are "arcsinh_x", "boxcox", "center_scale", "exp_x", "log_x", "orderNorm", "sqrt_x", "yeojohnson". See Details.
return_matrix_only: Logical, should only the transformed matrix be returned? If TRUE, the function will return a matrix. If FALSE, the function instead returns a list with the transformed data and potentially other information relevant to the transformation. Default value is FALSE.
...: Further arguments passed to the method function from the bestNormalize package.

Value

Depending on the return_matrix_only, either a matrix of transformed data, or a list with the following elements:

transformed_data: matrix of the transformed data;
info_transformation: A named list with one element per feature (row), giving details of the transformation applied to the feature (see output for the bestNormalize function corresponding to method).

Details

Applies a normalisation method implemented in the bestNormalize package. The method argument corresponds to the function from the bestNormalize package that will be applied to the rows of the matrix. See the vignette from the bestNormalize package for more information about the transformations.