mk_autoscale_function: Create a function that transforms a current...
In designit: Blocking and Randomization for Experimental Design

mk_autoscale_function

R Documentation

Create a function that transforms a current (multi-dimensional) score into a boxcox normalized one

Create a function that transforms a current (multi-dimensional) score into a boxcox normalized one

mk_autoscale_function(
  batch_container,
  scoring,
  random_perm,
  use_boxcox = TRUE,
  sample_attributes_fixed = FALSE
)

`batch_container`	An instance of BatchContainer.
`scoring`	A named `list()` of scoring function. Each function should return a vector of non-zero length.
`random_perm`	Number of random sample permutations for the estimation of the scaling params.
`use_boxcox`	Logical; if TRUE and the `bestNormalize` package is available, boxcox transformations will be used to normalize individual scores. If not possible, scores will just be transformed to a zero mean and unit standard deviation.
`sample_attributes_fixed`	Logical; if FALSE, simulate a shuffle function that alters sample attributes at each iteration.