skbio.stats.gradient.FirstDifferenceGradientANOVA#

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

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__`	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