fssemR (version 0.1.8)

randomFSSEMdata4Cor: randomFSSEMdata4Cor

Description

randomFSSEMdata4Cor

Usage

randomFSSEMdata4Cor(
  n,
  p,
  k,
  sparse = 0.1,
  df = 0.2,
  sigma2 = 0.01,
  u = 5,
  type = c("DG", "ER"),
  dag = TRUE,
  coef = c(0.2, 0.4),
  nhub = 2,
  r = 0.5
)

Arguments

n

number of observations. Vector for unbalance observations

p

number of genes

k

number of eQTLs

sparse

ratio of edges / gene_number

df

ratio of differential edges among two network

sigma2

noise variance of error

u

variance of bias in SEM model.

type

type of generated network, can be selected as DG, ER, Scale-free network

dag

network is directed-acyclic or not. Default TRUE

coef

Range of absolute value of coefficients in simulated network matrices. Default (0.2, 0.4), or (0.5, 1)

nhub

If you select to generate ER network, nhub is the number of pre-defined hub node number. Default 2

r

correlation between different observations

Value

list of generated data

Data

List of observed, Xs, Ys, Sk

Vars

List of model, Bs, Fs, mu, n, p, k