biscale.control: Control for standard procedure
In eimpute: Efficiently Impute Large Scale Incomplete Matrix

biscale.control

R Documentation

Control for standard procedure

Various parameters that control aspects of the standard procedure.

biscale.control(
  row.mean = FALSE,
  row.std = FALSE,
  col.mean = FALSE,
  col.std = FALSE
)

`row.mean`	if `row.mean = TRUE` (the default), row centering will be performed resulting in a matrix with row means zero. If `row.mean` is a vector, it will be used in the iterative process. If `row.mean = FALSE` nothing is done.
`row.std`	if `row.std = TRUE` , row scaling will be performed resulting in a matrix with row variance one. If `row.std` is a vector, it will be used in the iterative process. If `row.std = FALSE` (the default) nothing is done.
`col.mean`	similar to `row.mean`.
`col.std`	similar to `row.std`.