CreateTotalSummary: Summarizes and Averages Total Effects
In PathSelectMP: Backwards Variable Selection for Paths using M Plus

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

this is a helper function for AllTotEffOutput which is better for the regular user

1	CreateTotalSummary(AllTots, GreaterThanNum)

`AllTots`	is output from `CreateTotalEffMat` applied to each imputed data sets so it is a list of length number of imputed data sets (or length 1 if no imputed data sets) cotaining in each list a list of dataframes where each data frame is total effects, standard errors, p-values, path designation respectively
`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.

not necessary for regular user

output is same as AllTotalEffOutput which is easier to run

must run backwards selection first and some other necessary functions see example

William Terry

M Plus

AllTotalEffOutput

## 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]])
zzz=AllSummary(xxx[[1]])[[2]]
qqq=AddOnAllInd(xxx[[1]],zzz)
AllDat1=ConvertData2(xxx[[1]],xxx[[2]],yyy[[1]])
AllFileNames1=sapply(AllDat1,OnlyNumberElement,1)
Tots1=lapply(AllFileNames1,CreateTotalEffMat,Directry=getwd())	
AllTotEffOutput1=CreateTotalSummary(Tots1,GreaterThanNum=0)

## End(Not run)