Description Usage Arguments Details Value Note Author(s) References See Also Examples
One of the main and most important functions. Ties together Indirect Statements and summary output of direct effects
1 | AllSummary(AllNames, Directry = getwd(), GreaterThanNum = 0, PasteIND = 1)
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AllNames |
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Directry |
this the path where the folder specified by |
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. |
PasteIND |
a value of 1 indicates to use all possible indirect effects in modelling and a value of 0 is input to only use direct effects in modelling |
Must initialize and run backwards selection before using this function
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 |
INDStatements |
lists of indirect effect relations |
This function must be run before AddOnAllInd can be run (see examples), but otherwise is not a very useful summary function. The user is
instead referred to AllSummary2. The means in the matrices above are only calculated for those paths and parameters which appear in the count matrix with a value greater than the GreaterThanNum.
William Terry
M Plus
1 2 3 4 5 6 7 8 | ## Not run:
InitD=Simulate(MissingYN=1)
xxx=Initialize(InitD,NumImpute=3,WhichCat=c(1,1,1,1,0))
ggg=AllBackwardSelect(xxx[[1]])
zzz=AllSummary(xxx[[1]])[[2]]
## End(Not run)
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