Hi Albrecht,
Hello,
is there an easy way to calculate the mean and standard deviation (Rubins Formula) for Amelia objects? Right now I do the following:
* create an "imputed matrix" using the following call
a.out <- amelia(merged, m=10, ts= "Year", cs ="GEO")
* output the individual imputations using the following:
write.amelia(obj=a.out, file.stem = "outdata")
* Reading in "outdata1.csv" to "outdata10.csv" as individual dataframes
* Using the 10 dataframes as arguments to calculate the statistics
Is there any "more straightforward" way that you could suggest to achieve this?
With best regards
Albrecht
--
Albrecht Gradmann, Fellow
Ecologic Institute
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