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

Built-ins

__hash__

Return hash(self).

Methods

get_trajectories()

Compute the trajectories for each group in each category and run