skbio.stats.gradient.AverageGradientANOVA

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

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

Built-ins

__init_subclass__ This method is called when a class is subclassed.

Methods

get_trajectories() Compute the trajectories for each group in each category and run