PathSelectMP (version 1.1)

AllTotalEffOutput: Summary of Total Effects

Description

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

Usage

AllTotalEffOutput(AllDat, GreaterThanNum = 0, Directry = getwd())

Arguments

AllDat

output from ConvertData2

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 AllNames is located and default is working directory

Value

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

Details

Must initialize and run backwards selection before using this function

References

M Plus

See Also

AllSummary2

Examples

# 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)
# }