pool FactoMineR PCA results on multiple imputation datasets

[Dennis Mooibroek]

Hi all,

I have used the MissMDA package to create multiple imputation datasets to fill in the missing values. Using lapply I can perform FactoMineR's PCA function on all these datasets.

The next step would be to pool the results using Rubin's rules (i.e. pool function in MICE). This gives me the following error:

> poolResults <- pool(as.mira(pcaResults))
Error: No tidy method for objects of class PCA
In addition: Warning message:
In get.dfcom(object, dfcom) : Infinite sample size assumed.

How can I perform PCA on multiple datasets and pool the results?

Best,

Dennis

[Francois Husson]

You shoul see the help of the MIPCA function:

require(mice)
imp<-prelim(res.mi=res.BayesMIPCA,X=ozone[,1:11])#creating a mids object
fit <- with(data=imp,exp=lm(maxO3~T9+T12+T15+Ne9+Ne12+Ne15+Vx9+Vx12+Vx15+maxO3v))#analysis
res.pool<-pool(fit);summary(res.pool)#pooling

Best
FH

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