
Last chance! 50% off unlimited learning
Sale ends in
This function performs grouping and sorting operations on a multiply imputed dataset. It creates a mids object that is needed for input to with.mids, which allows analyse of the multiply imputed data set. The original incomplete data set needs to be available so that we know where the missing data are.
prelim(res.mi,X)
an output of the functions MIPCA, MIMCA or MIFAMD
the original incomplete data set corresponding to the res.mi argument
An object of type mids
# NOT RUN {
data(TitanicNA)
## First the number of components has to be chosen
## (for the reconstruction step)
## nb <- estim_ncpMCA(TitanicNA,ncp.max=5) ## Time-consuming, nb = 5
## Multiple Imputation
res.mi <- MIMCA(TitanicNA, ncp=5, verbose=T)
#Analysis
imp<-prelim(res.mi,TitanicNA)
fit <- with(data=imp,exp=glm(SURV~CLASS+AGE+SEX,family = "binomial"))
#Pooling
res.pool<-pool(fit)
summary(res.pool)
# }
Run the code above in your browser using DataLab