29 Jan
2016
29 Jan
'16
10:54 p.m.
I have 761,592 obs for 31 variables on users behaviours towards online ads.
Out of 31 variables, 28 are categorical. Many cat. variables have more than
10 categories. I am using Amelia for missing data imputation.
It's taking very long time. Are there other ways to do it fast? What's the
Amelia limits on number of observations ?
Is there any R-package which perform better on large dataset for missing
data imputation?
I checked for complete cases, there are only 172 complete cases which is
very insignificant as compare to total dataset.
--
Mithilesh Kumar