Hi Elisa,
Simply create a data frame with the columns you want to use and then run the
amelia() function on that data frame.
Say, you've creasted the data frame MyDF with the 3 columns you want amelia to
perform the imputation. Then type
> a.out <- amelia(MyDFl, m =M)
(where M is the number of imputations).
Jose
________________________________________
From: r-help-boun...@r-project.org [r-help-boun...@r-project.org] On Behalf Of
Elisa D'Arcangelo [darcangelo.el...@googlemail.com]
Sent: 30 October 2012 13:35
To: r-help@r-project.org
Subject: [R] Amelia imputation - column grouping
Hi everybody,
I am quite new to data imputation, but I would like to use the R package '
Amelia II: A Program for Missing Data '. However, its unclear to me how
the input for amelia should look like:
I have a data frame consisting of numerous coulmns, which represent
different experimental conditions, whereby each column has 3 replicates. I
want amelia to perform an imputation across the replicates in each condtion
(i.e. over 3 colums), not however across the whole data frame. Hence my
question, does amelia need some sort of 'grouping', i.e. how do I specify
how many columns of my data frame should be used for imputation?
Any help is greatly appreciated. Thank you!
Regards,
Elisa
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