| Mean {ISR} | R Documentation | 
Mean method
Description
Caculate the estimator on the Mean method
Usage
Mean(data = 0, data0, real = TRUE, example = FALSE)
Arguments
| data | is the orignal data set | 
| data0 | is the missing data set | 
| real | is to judge whether the data set is a real missing data set | 
| example | is to judge whether the data set is a simulation example | 
Value
| XMean | is the estimator on the Mean method | 
| MSEMean | is the MSE value of the Mean method | 
| MAEMean | is the MAE value of the Mean method | 
| REMean | is the RE value of the Mean method | 
| GCVMean | is the GCV value of the Mean method | 
| timeMean | is the time cost of the Mean method | 
Examples
 library(MASS)   
 n=100;p=10;per=0.1
 X0=data=matrix(mvrnorm(n*p,0,1),n,p)
 m=round(per*n*p,digits=0)
 mr=sample(1:(n*p),m,replace=FALSE)
 X0[mr]=NA;data0=X0
 Mean(data=data,data0=data0,real=FALSE,example=FALSE)
[Package ISR version 2022.4.22 Index]