Hi Christopher,
thanks for your reply. Unfortunately, that's not what I am looking for. I
would like to have a table with the results of the two models (lm.imputed1
and lm.imputed2) in two separate columns.
According to stargazer syntax I should type something like:
stargazer(lm.imputed1, lm.imputed2, summary = FALSE)
but then I get my error:
Error: Unrecognized object type.
Even though your example is insightful, I can't figure out how to solve
my problem.
Any advice is very welcome.
Regards,
f.
On 17 August 2013 17:02, Christopher Desjardins <cddesjard...@gmail.com>wrote:
> Does this do what you want?
>
> library(Amelia)
> library(Zelig)
> library(stargazer)
> library(xtable)
>
> data(africa)
>
> m = 10
> imp1 <- amelia(x = africa,cs="country",m=m)
> imp2 <- amelia(x = africa,cs="country",m=m)
> lm.imputed1 <- zelig(infl ~ trade + civlib, model="ls",data = imp1)
> lm.imputed2 <- zelig(infl ~ trade + civlib, model="ls",data = imp2)
>
> # Stargazer
> for(i in 1:m){
>
> print(stargazer(as.data.frame(summary(lm.imputed1[[i]])$coef),as.data.frame(summary(lm.imputed2[[i]])$coef)))
> }
>
> # xtable
> for(i in 1:m){
> print(xtable(summary(lm.imputed1[[i]])))
> print(xtable(summary(lm.imputed2[[i]])))
> }
>
>
> On Sat, Aug 17, 2013 at 6:37 AM, Francesco Sarracino <
> f.sarrac...@gmail.com> wrote:
>
>> Dear listers,
>>
>> I am running some OLS on multiply imputed data using Amelia.
>> I first imputed the data with Amelia.
>> than I run a OLS using Zelig to obtain a table of results accounting for
>> the multiply imputed data-sets. And I'd like to do this for various
>> models.
>> Finally, I want to output all the models in a table of results for latex.
>>
>> I've tried with Stargazer because it seems to support Zelig output, but
>> when I run stargazer on a set of objects containing the output of zelig, I
>> get the following error: Error: unrecognized object type.
>>
>> this message is repeated for each model I passed to Stargazer.
>>
>> I am sorry I can't provide a working example, because I should make up
>> some
>> multiply imputed data first. Hoewever, summarizing what I did is:
>>
>> imputed1 <- amelia(x=data1, m=10)
>> imputed2 <- amelia(x=data2, m=10)
>> lm.imputed1 <- zelig(Y ~ X + Z, data = imputed1)
>> lm.imputed2 <- zelig(Y ~ X + Z, data = imputed2)
>> stargazer(lm.imputed1, lm.imputed2)
>> The outcome is the error I mentioned above.
>> Thanks in advance for all the support you can offer.
>> Regards,
>> f.
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
>
>
--
Francesco Sarracino, Ph.D.
https://sites.google.com/site/fsarracino/
[[alternative HTML version deleted]]
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