twoStageiLCA: Two-staged Independent Linked Component Analysis

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

Description

Two-staged Independent Linked Component Analysis, a generalization based on the Two-staged Independent Linked Component Analysis

Usage

twoStageiLCA(
  dataset,
  group,
  comp_num,
  weighting = NULL,
  backup = 0,
  plotting = FALSE,
  proj_dataset = NULL,
  proj_group = NULL
)

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
weighting	Weighting of each dataset, initialized to be NULL
backup	A positive scalar to determine how many ICs to over select
plotting	A boolean value to determine whether to plot the scree plot or not, default to be False
proj_dataset	The datasets to be projected on
proj_group	The grouping of projected data sets

Value

A list contains the component and the score of each dataset on every component after 2siLCA algorithm

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)
proj_dataset = list(matrix(runif(5000, 1, 2), nrow = 100, ncol = 50))
proj_group = list(c(TRUE, TRUE, FALSE, FALSE, FALSE, TRUE, FALSE, FALSE, FALSE))
res_twoStageiLCA = twoStageiLCA(dataset, group, comp_num, proj_dataset = proj_dataset, proj_group = proj_group)

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