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]