DoubleDataGen: Function that generates double-matched data matrices.

In justicesuker/DMMD_Package: Double Matched Matrix Decomposition

Function that generates double-matched data matrices.

Description

Function that generates double-matched data matrices.

Usage

DoubleDataGen(
  n = 20,
  p = 16,
  rank = c(4, 3),
  rc = 2,
  rr = 1,
  nrep = 1,
  std1 = 0.1,
  std2 = 0.1,
  lb = 0.5,
  ub = 1.5
)

Arguments

n	Number of rows of data matrix to be generated
p	Number of rows of data matrix to be generated
rank	The vector of total ranks of the two matrices to be generated
rc	The joint column rank
rr	The joint row rank
nrep	How many pairs of double-matched matrices that you want to generate?
std1	The standard deviation of the first Gaussian noise matrix
std2	The standard deviation of the second Gaussian noise matrix
lb	The lower bound for the singular values. Generated singular values are further scaled so that their sum of square equals to the total rank.
ub	The upper bound for the singular values. Generated singular values are further scaled so that their sum of square equals to the total rank.

Value

A list with the following elements:

X1	A list of generated first noisy data matrices, with length nrep
X2	A list of generated second noisy data matrices, with length nrep
A1	A list of generated first low-rank signal matrices, with length nrep
A2	A list of generated second low-rank signal matrices, with length nrep
M	A list of generated joint column basis matrices, with length nrep
N	A list of generated joint row basis matrices, with length nrep
R1	A list of generated first individual column basis matrices, with length nrep
R2	A list of generated second individual column basis matrices, with length nrep
S1	A list of generated first individual row basis matrices, with length nrep
S2	A list of generated second individual row basis matrices, with length nrep

Examples

data = DoubleDataGen()
head(data$X1[[1]])

justicesuker/DMMD_Package documentation built on Aug. 6, 2022, 12:34 p.m.