Description Usage Arguments Details Value Note Author(s) References See Also Examples

View source: R/AllTotalEffOutput.R

total effects averaged over imputed data sets, if there are imputations, with accompanying p value summaries

1 | ```
AllTotalEffOutput(AllDat, GreaterThanNum = 0, Directry = getwd())
``` |

`AllDat` |
output from |

`GreaterThanNum` |
number of output files containing path over which to average which must be less than the number of imputations and is only used if multiple imputations are performed. Default 0 which is to use all data sets in mean calculations. |

`Directry` |
this the path where the folder specified by |

Must initialize and run backwards selection before using this function

list of matrices which are respectively:

`Count` |
number of times total effect appears in imputed data sets final path selection |

`AverageEffects` |
mean values of total effects for paths which are just the total effects if no imputations are performed |

`AverageStandardError` |
the mean square error of the effect parameters averaged over imputed data sets if they exist |

`AveragePVal` |
mean p values of these total effects |

`MinPval` |
minimum p values of these total effects |

`MaxPVal` |
maximum p value of these total effects |

`MedianPVal` |
median p value of these total effects |

total effects and direct effect averages are done separately so a path may be present in one summary and not the other when using the same `GreaterThanNum`

which is not equal to zero

William Terry

M Plus

1 2 3 4 5 6 7 8 9 10 | ```
## Not run:
InitD=Simulate(MissingYN=1)
xxx=Initialize(InitD,NumImpute=3,WhichCat=c(1,1,1,1,0))
ggg=AllBackwardSelect(xxx[[1]])
yyy=AllSummary2(xxx[[1]])
AllDat1=ConvertData2(xxx[[1]],xxx[[2]],yyy[[1]])
TotsAllEff=AllTotalEffOutput(AllDat1)
## End(Not run)
``` |

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