var_explained: Percent of variance explained by each component of fitted...

In irinagain/SLIDE: Structural Learning and Integrative Decomposition of Multi-View Data

Description

Percent of variance explained by each component of fitted SLIDE model

Usage

var_explained(slide, pvec)

Arguments

slide	Output from slide function
pvec	A vector of values p_1,....,p_d corresponding to the number of measurements within each view.

Value

A list with the elements

var_total	A vector of length r (number of components in fitted SLIDE model), each element is a percentage variance explained in the total concatenated dataset by that component
var_vew	A d x r matrix, each element is a percentage variance explained in the respective view by that component.

Examples

n = 25
# Two matched datasets
p1 = p2 = 10
data = generateModel1(n = n, pvec = c(p1, p2))
out_slide = slide(X = data$X, pvec = c(p1, p2))
var_explained(out_slide, pvec = c(p1, p2))

irinagain/SLIDE documentation built on Aug. 14, 2021, 2:56 p.m.