generate_pee_missing_data {vsmi}R Documentation

Generate example data for PEE

Description

This is a functoin to generate example missing data for PEE

Usage

generate_pee_missing_data(
  outcome = "binary",
  p = 20,
  n = 200,
  pt1 = 0.5,
  tbeta = c(3/4, (-3)/4, 3/4, (-3)/4, 3/4, (-3)/4, (-3)/4, 3/4),
  miss_sig = c(1, 1, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0, 0)
)

Arguments

outcome

The type of response variable Y, choose "binary" for binary response or "count" for poisson response,defualt "binary"

p

The dimension of the independent variable X,default 20.

n

The Number of rows of generated data,default 200.

pt1

Missing rate of independent variable X,default 0.5.

tbeta

True value of the coefficient,default c(3/4,(-3)/4,3/4,(-3)/4,3/4,(-3)/4,(-3)/4,3/4).

miss_sig

A 0-1 vector of length p, where 1 means that variable at the index is with missing,while 0 means that it without missing,defualt c(1,1,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0)

Value

A Matrix,missing data with variables X in the first p columns and response Y at the last column.


[Package vsmi version 0.1.0 Index]