Mean | R Documentation |

Caculate the estimator on the Mean method

Mean(data = 0, data0, real = TRUE, example = FALSE)

`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 |

`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 |

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)

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