miceadds (version 2.2-0)

mids2datlist: Converting a mids, mids.1chain or mids.nmi Object in a Dataset List

Description

Converts a mids, mids.1chain or mids.nmi object in a dataset list.

Usage

mids2datlist(midsobj, X = NULL)

Arguments

midsobj

Object of class mids, mids.1chain or mids.nmi

X

Optional data frame of variables to be included in imputed datasets.

Value

List of multiply imputed datasets of classes datlist or nested.datlist.

Examples

## Not run: 
# #############################################################################
# # EXAMPLE 1: Imputing nhanes data and convert result into a dataset list
# #############################################################################
# 
# data(nhanes,package="mice")
# 
# #**** imputation using mice
# imp1 <- mice::mice( nhanes , m=3 , maxit=5 )
# # convert mids object into list
# datlist1 <- mids2datlist( imp1 )
# 
# #**** imputation using mice.1chain
# imp2 <- mice.1chain( nhanes , burnin=4 , iter=20 , Nimp=5 )
# # convert mids.1chain object into list
# datlist2 <- mids2datlist( imp2 )
# 
# #############################################################################
# # EXAMPLE 2: Nested multiple imputation and datalist conversion
# #############################################################################
# 
# library(BIFIEsurvey)
# data(data.timss2 , package="BIFIEsurvey" )
# datlist <- data.timss2		
#    # list of 5 datasets containing 5 plausible values
# 
# # remove first four variables
# M <- length(datlist)
# for (ll in 1:M){
#     datlist[[ll]] <- datlist[[ll]][ , -c(1:4) ]
#                 }
#                 
# #***************
# # (1) nested multiple imputation using mice
# imp1 <- mice.nmi( datlist ,  m=4 , maxit=3 )
# summary(imp1)
# 
# #***************
# # (2) nested multiple imputation using mice.1chain
# imp2 <- mice.nmi( datlist , Nimp=4 , burnin=10 ,iter=22, type="mice.1chain")
# summary(imp2)
# 
# #**************
# # conversion into a datalist
# datlist.i1 <- mids2datlist( imp1 )
# datlist.i2 <- mids2datlist( imp2 )
# 
# #############################################################################
# # EXAMPLE 3: mids object conversion and inclusion of further variables
# #############################################################################
# 
# data(data.ma05)
# dat <- data.ma05
# 
# # imputation
# resp <- dat[ , - c(1:2) ]
# imp <- mice::mice( resp , imputationMethod="norm" , maxit=2 , m=3 )
# 
# # convert mids object into datalist
# datlist0 <- mids2datlist( imp )
# # convert mids object into datalist and include some id variables
# datlist1 <- mids2datlist( imp , X = dat[,c(1,2) ] )
# ## End(Not run)