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

Built-ins

__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).

Methods

get_trajectories()

Compute the trajectories for each group and category and run ANOVA.