statsmodels.stats.robust_compare.scale_transform

statsmodels.stats.robust_compare.scale_transform(data, center='median', transform='abs', trim_frac=0.2, axis=0)

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