AllSummary2: Direct Effect Summary
In PathSelectMP: Backwards Variable Selection for Paths using M Plus

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

summarizes direct effects from path anaysis for all imputed datasets

1	AllSummary2(AllNames, Directry = getwd(), GreaterThanNum = 0)

`AllNames`	`AllNames` is a list of the filenames as strings where the M Plus.inp and .out files are located which is length 1 if no imputations
`Directry`	this the path where the folder specified by `AllNames` is located and default is working directory
`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.

this function is essentially the same as AllSummary except it does not return the indirect effect list

list of length 2:

`DirectEffects`	Direct Effects of each imputed data set or just direct effects of one data set if no imputation
`Average`	list with the following objects:
`DirectEffectCounts`	count matrix for number of times path appears which will be 1's and 0's if no imputed data sets are used
`MeanDirectEffects`	mean values of direct effects for paths which are just the direct effects if no imputations are performed
`MeanStandardError`	the mean square error of the effect parameters averaged over imputed data sets if they exist
`MeanPValue`	mean p values of these direct effects
`MinPVals`	minimum p values of these direct effects
`MaxPVals`	maximum p value of these direct effects
`MedianPVals`	median p value of these direct effects

Must initialize and run backwards selection before using this function

William Terry

M Plus

AllSummary

## 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]])


## End(Not run)