Calculate robust M-scores for numeric variables

Calculate median/MAD-based M-scores for selected numeric variables and return both the transformed data and the parameters needed to review or reuse the transformation.

CalcMScore() has been superseded by CreateMScoreObject(). It remains available as a backwards-compatible alias and returns the same reusable M-score object.

Usage

CreateMScoreObject(
  data,
  variables = NULL,
  names_prefix = "M_",
  RetainLabels = TRUE,
  RenameLabels = TRUE,
  center = TRUE,
  scale = TRUE,
  constant = 1.4826,
  df = lifecycle::deprecated()
)

CalcMScore(...)

Arguments

data

A data frame.

variables

Character vector of numeric variables to transform. If NULL, numeric variables are detected with getNumVars().

names_prefix

Prefix for generated M-score columns.

RetainLabels

Logical; keep variable labels when possible.

RenameLabels

Logical; rename generated labels when labels are retained.

center

Logical; subtract the median before scaling.

scale

Logical; divide by the median absolute deviation.

constant

Scaling constant passed to stats::mad().

df

Deprecated (since 19.15.0). Use data instead.

...

Arguments passed to CreateMScoreObject().

Value

An object of class "MScoreObj", a list with:

• MScores: data frame of M-score variables only

• DataWithM: original df plus M-score variables

• Parameters: data frame with Variable, N, Median, and MAD

• Center: logical flag used

• Scale: logical flag used

• Constant: MAD scaling constant used