| 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]