Seems you're after the pooled results. Would the following work?
library(Amelia) library(Zelig) 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(gdp_pc ~ trade + civlib, model="ls",data = imp1) lm.imputed2 <- zelig(gdp_pc ~ trade + civlib, model="ls",data = imp2) lm1 <- as.data.frame(summary(lm.imputed1)$coef) lm2 <- as.data.frame(summary(lm.imputed2)$coef) lm1[,2] <- ifelse(lm1[,4]<.001,paste(lm1[,2],"***",sep=" "), ifelse(lm1[,4]<.01,paste(lm1[,2],"**",sep=" "), ifelse(lm1[,4]<.05,paste(lm1[,2],"*",sep=" "), ifelse(lm1[,4]<.1,paste(lm1[,2],".",sep=" "),lm1[,2])))) lm2[,2] <- ifelse(lm2[,4]<.001,paste(lm2[,2],"***",sep=" "), ifelse(lm2[,4]<.01,paste(lm2[,2],"**",sep=" "), ifelse(lm2[,4]<.05,paste(lm2[,2],"*",sep=" "), ifelse(lm2[,4]<.1,paste(lm2[,2],".",sep=" "),lm2[,2])))) ## ONE OPTIONS ## lms <- as.data.frame(cbind(lm1[,1],lm2[,1],lm1[,2],lm2[,2])) rownames(lms) <- rownames(lm1) colnames(lms) <- c("Imp1.Est","Imp2.Est","Imp1.SE","Imp2.SE") xtable(lms) ## OR ## xtable(cbind(lm1[,1:2],lm2[,1:2])) [[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.