ajive.data.sim: Simulation of data blocks

In RaJIVE: Robust Angle Based Joint and Individual Variation Explained

Description

Simulates blocks of data with joint and individual structures

Usage

ajive.data.sim(
  K = 3,
  rankJ = 2,
  rankA = c(20, 15, 10),
  n = 100,
  pks,
  dist.type = 1,
  noise = 1
)

Arguments

K	Integer. Number of data blocks.
rankJ	Integer. Joint rank.
rankA	Vector of Integers. Individual Ranks.
n	Integer. Number of data points.
pks	Vector of Integers. Number of variables in each block.
dist.type	Integer. 1 for normal, 2 for uniform, 3 for exponential
noise	Integer. Standard deviation in dist

Value

Xsim a list of simulated data matrices and true rank values

Examples

n <- 20
p1 <- 10
p2 <- 8
p3 <- 5
JrankTrue <- 2
initial_signal_ranks <- c(5, 2, 2)
 Y <- ajive.data.sim(K =3, rankJ = JrankTrue,
 rankA = initial_signal_ranks,n = n,
 pks = c(p1, p2, p3), dist.type = 1)

RaJIVE documentation built on Feb. 4, 2021, 5:05 p.m.