gendata_Mean {TOSI}

Generate simulated data

Description

Generate simulated data from for high-dimensional mean model.

Usage

  gendata_Mean(n, p, s0= floor(p/2), seed=1, rho= 1, tau=1)

Arguments

n

a positive integer, the sample size.

p

an positive integer, the variable dimension.

s0

a positive integer, the number of nonzero components of mean .

seed

a nonnegative integer, the random seed, default as 1.

rho

a positive number between 0 and 1, controlling the correlation of data.

tau

a positive number, controlling the magnitude of covriance matrix.

Value

return a list including two components:

X

a n-by-p matrix, the observed data matrix.

mu

a p-dimensional vector, the mean vector.

p0

a integer vector, the number of nonzero components of mean.

Note

nothing

Author(s)

Liu Wei

Examples

  dat <- gendata_Mean(n=100, p = 100, s0=3)
  str(dat)