[R] Amelia imputation - column grouping

Jose Iparraguirre Jose.Iparraguirre at ageuk.org.uk
Tue Oct 30 18:10:19 CET 2012

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).


From: r-help-bounces at r-project.org [r-help-bounces at r-project.org] On Behalf Of Elisa D'Arcangelo [darcangelo.elisa at googlemail.com]
Sent: 30 October 2012 13:35
To: r-help at 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!



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