destiny-generics: destiny generics

In destiny: Creates diffusion maps

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

Examples

data(guo_norm)
dm <- DiffusionMap(guo_norm)
eigenvalues(dm)
eigenvectors(dm)
sigmas(dm)
optimal_sigma(dm)
dataset(dm)
distance(dm)

destiny documentation built on Nov. 8, 2020, 7:38 p.m.