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# skbio.stats.gradient.AverageGradientANOVA

class skbio.stats.gradient.AverageGradientANOVA(coords, prop_expl, metadata_map, trajectory_categories=None, sort_category=None, axes=3, weighted=False)

  Perform trajectory analysis using the RMS average algorithm.

  For each group in a category, it computes the average point among the samples in such group and then computes the norm of each sample from the averaged one.

  See also

  `GradientANOVA`

  Methods (inherited)

  `get_trajectories` | Compute the trajectories for each group and category and run ANOVA.

  Special methods (inherited)

  `__eq__` | Return self==value.
  `__ge__` | Return self>=value.
  `__getstate__` | Helper for pickle.
  `__gt__` | Return self>value.
  `__hash__` | Return hash(self).
  `__le__` | Return self<=value.
  `__lt__` | Return self<value.
  `__ne__` | Return self!=value.
  `__str__` | Return str(self).

  Details