Hi  Ömer, 

It seems as though you are running into memory issues with R itself. Note that using "intercs = TRUE" and "polytime = 2" will add 3*K variables to the data, where K is the number of dyads in the data. Given your description of the data, that could be an extremely large data set. You might want to run Amelia on a smaller subset of the data to see how the imputations go and then tentatively test out smaller imputation models. 

Hope that helps!

Cheers,

matt.

~~~~~~~~~~~

Matthew Blackwell

Assistant Professor of Political Science

University of Rochester

url: http://www.mattblackwell.org

On Thu, Feb 7, 2013 at 7:24 AM, OMER FARUK Orsun <oorsun@ku.edu.tr> wrote:

Dear Lister,

I am using Amelia II (Version 1.6.4) with a 500 GB computer specification and my data consist of directed dyads and my imputation model has 94 variables and 493,853 observations. I use the following command:

  

library(Amelia)

library(foreign)

mydata <- read.dta("data.dta")

require(Amelia)

 set.seed(1234)

a.out <- amelia(mydata, m=10, p2s = 2, tolerance = 0.005, empri = .1*nrow(mydata), ts="year", cs="dyadid" , polytime=2, intercs = TRUE)

After 7 hours, I receive the following message:

amelia starting

beginning prep functions

Error in cbind(deparse.level, ...) :

  resulting vector exceeds vector length limit in 'AnswerType'

I've already searched the Amelia II archieves and R archives, I was not able to locate a solution. 

I would deeply appreciate any help!

Best Regards,

Ömer

_________________________________

Ömer Faruk Örsün

PhD Candidate

Department of International Relations

Koç University

CAS 289

_________________________________

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