destiny (version 2.0.4)

destiny generics: destiny generics

Description

destiny provides several generic methods and implements them for the DiffusionMap and Sigmas classes.

Usage

eigenvalues(object)
eigenvalues(object) <- value
eigenvectors(object)
eigenvectors(object) <- value
sigmas(object)
sigmas(object) <- value
dataset(object)
dataset(object) <- value
distance(object)
distance(object) <- value
optimal_sigma(object)

Arguments

object

Object from which to extract or to which to assign a value

value

Value to assign within an object

Value

eigenvalues retrieves the numeric eigenvalues eigenvectors retrieves the eigenvectors matrix sigmas retrieves the Sigmas from an object utilizing it as kernel width dataset retrieves the data the object was created from distance retrieves the distance metric used to create the object, e.g. euclidean optimal_sigma retrieves the numeric value of the optimal sigma or local sigmas

See Also

DiffusionMap methods and Sigmas class for implementations