pveMultiple: Percentage of Variance Explained for Multiple Data sets

In CHuanSite/PJD: Partial and Joint Decomposiiton(PJD)

Description

Compute the PVE (Percentage of Variance Explained) for multiple data sets on multiple components

Usage

pveMultiple(dataset, group, comp_num, list_score, list_component)

Arguments

dataset	A list of dataset to be analyzed
group	A list of grouping of the datasets, indicating the relationship between datasets
comp_num	A vector indicates the dimension of each compoent
list_score	A list of extracted scores by the corresponding algorithm
list_component	A list of components comptuted by the corresponding algorithm

Value

The list of scores

Examples

dataset = list(matrix(runif(5000, 1, 2), nrow = 100, ncol = 50),
matrix(runif(5000, 1, 2), nrow = 100, ncol = 50),
matrix(runif(5000, 1, 2), nrow = 100, ncol = 50),
matrix(runif(5000, 1, 2), nrow = 100, ncol = 50))
group = list(c(1,2,3,4), c(1,2), c(3,4), c(1,3), c(2,4), c(1), c(2), c(3), c(4))
comp_num = c(2,2,2,2,2,2,2,2,2)
res_concatPCA = concatPCA(dataset, group, comp_num)
pveMultiple(dataset, group, comp_num, res_concatPCA$score_list, res_concatPCA$linked_component_list)

CHuanSite/PJD documentation built on Oct. 26, 2021, 1 p.m.