sim_MOTTE_data: Simulate MOTTE formated data

In boyiguo1/MOTTE.RF: What the Package Does (One Line, Title Case)

Description

Simulate MOTTE formated data

Usage

sim_MOTTE_data(
  n.train = 500,
  n.test = 200,
  p = 10,
  q = 3,
  ratio = 0.5,
  cov.mat = diag(p),
  trt.f = c("Linear", "Polynomial", "Box"),
  link.f = c("Linear", "Polynomial"),
  B,
  Z
)

Arguments

n.train	An integer value, sample size for training data
n.test	An integer value, sample size for testing data
p	An integer value, the dimensionality of covaraites (X)
q	An integer value, the dimensionality of responses (Y)
ratio	An fraction value, the ratio between treatment groups
cov.mat	Covariance matrix for X.b
trt.f	character, the name of treatment effect funciton
link.f	character, the name of treatment effect funciton
B	matrix, the coefficient matrix used in the trt.f
Z	matrix, the coefficient matrix used in the link.f

Value

A nested list that contain training data and testing data. TODO: add more introdcution to whats in the list

Examples

set.seed(1)

n.train = 200
n.test = 100
p = 10
q = 3
ratio = 0.5
cov.mat = diag(p)
trt.f = "Polynomial"
link.f = "Polynomial"
B = create.B(p)
Z = create.Z(p,q)

# B <- create.B(10)
# Z <- create.Z(10, 3)

sim.dat <- sim_MOTTE_data( n.train = 500, n.test = 200,
p = 10, q = 3, ratio = 0.5,
B = B, Z = Z)

boyiguo1/MOTTE.RF documentation built on June 14, 2020, 4:12 p.m.