DatImputations: Impute Data

In PathSelectMP: Backwards Variable Selection for Paths using M Plus

Description

Imputes missing data using mice

Usage

DatImputations(InitialData, ImputeSeed, NADes, DataFileNameS, 
WhichCat, WhichImpute, WhichRowsImp, AllMethods)

Arguments

InitialData	dataframe of data to be used in model creation
ImputeSeed	the seed for imputations
NADes	the missing value designation
DataFileNameS	name of imputed data file
WhichCat	vector length of names of InitialData specifying '1' for categorical and '0' for continuous variable
WhichImpute	vector length of names of InitialData specifying '1' for Impute column and '0' for no Imputation
WhichRowsImp	vector length of number of rows of InitialData specifying '1' for Impute row and '0' for no Imputation
AllMethods	default is set at "logreg" for binary imputation "polr" for categorical imputation "pmm" for continuous

Details

this is a helper function for Initialize when imputations are desired by user, and it should not be used as standalone function by regular user

Value

No value is returned rather a new data set is saved

Note

This function is best used by specificying the number of desired imputations with NumImpute in Initialize

Author(s)

William Terry

References

mice https://cran.r-project.org/web/packages/mice/mice.pdf

See Also

mice https://cran.r-project.org/web/packages/mice/mice.pdf

Examples

## Not run: 

InitD=Simulate(MissingYN=1,exampleNum=1)
WhichCat=c(1,1,1,1,0)
WhichImpute=c(rep(1, ncol(InitD)))
WhichRowsImp=c(rep(1,nrow(InitD)))
AllMethods=c("logreg","polr","pmm")
Directry=getwd()
ImputeSeed=1000
TO=Directry
DataFileName="NewData_1000"
NameFile="New_1000"
TO=paste(TO,"/",NameFile,sep="")
DataFileNameS=paste0(TO,"/",DataFileName,".dat")
NADes=c(-99)
Initialize(InitD,NumImpute=1,WhichCat=c(1,1,1,1,0))
DatImputations(InitD,ImputeSeed,NADes,DataFileNameS,WhichCat,WhichImpute,WhichRowsImp,AllMethods)

## End(Not run)

PathSelectMP documentation built on May 2, 2019, 3:15 a.m.