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# skbio.stats.gradient.FirstDifferenceGradientANOVA

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

  Perform trajectory analysis using the first difference algorithm.

  It calculates the norm for all the time-points and then calculates the first difference for each resulting point

  See also

  `GradientANOVA`

  Methods (inherited)

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

  Special methods (inherited)

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

  Details