statsmodels.stats.robust_compare.scale_transform¶
-
statsmodels.stats.robust_compare.scale_transform(data, center=
'median'
, transform='abs'
, trim_frac=0.2
, axis=0
)[source]¶ Transform data for variance comparison for Levene type tests
- Parameters:¶
- dataarray_like
Observations for the data.
- center“median”, “mean”, “trimmed” or
float
Statistic used for centering observations. If a float, then this value is used to center. Default is median.
- transform‘abs’, ‘square’, ‘identity’ or
a
callable
The transform for the centered data.
- trim_frac
float
in
[0, 0.5) Fraction of observations that are trimmed on each side of the sorted observations. This is only used if center is trimmed.
- axis
int
Axis along which the data are transformed when centering.
- Returns:¶
- res
ndarray
transformed data in the same shape as the original data.
- res
Last update:
Oct 12, 2024