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. > [[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.