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:¶

data : array_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 – transformed data in the same shape as the original data.

Return type:¶

ndarray