prelim {missMDA} | R Documentation |
Converts a dataset imputed by MIMCA, MIPCA or MIFAMD into a mids object
Description
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.
Usage
prelim(res.mi,X)
Arguments
res.mi |
an output of the functions MIPCA, MIMCA or MIFAMD |
X |
the original incomplete data set corresponding to the res.mi argument |
Value
imp.mids |
An object of type mids |
Author(s)
Vincent Audigier vincent.audigier@lecnam.net, Francois Husson francois.husson@institut-agro.fr and Julie Josse josse@agrocampus-ouest.fr
See Also
MIFAMD
,MIPCA
,MIMCA
,with.mids
,pool
,summary.mira
Examples
## 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)
## End(Not run)
[Package missMDA version 1.19 Index]