Question

I’m currently doing some data analysis on population data, so reporting the standard errors in the tables of parameter coefficients just doesn’t really make statistical sense. I’ve done a fair bit of searching and can’t find any way to customize the xtable output to remove it. Can anyone point me in the right direction?

Thanks a lot, I didn’t post this lightly; if it’s something obvious, I apologize for having wasted time!

Answer 1

so after my (other) whole long-winded answer… this works too:

xtable(summary(model1)$coefficients[,c(1,3,4)])

Or more generically:

sm <- summary(SomeModel)
SE.indx <- which(colnames(sm$coefficients) == "Std. Error")   # find which column is Std. Error (usually 2nd)
sm$coefficients <- sm$coefficients[, -SE.indx]  # Remove it
xtable(sm$coefficients)   # call xtable on just the coefficients table

Results:

% latex table generated in R 2.15.1 by xtable 1.7-0 package
% Sun Dec  9 00:01:46 2012
\begin{table}[ht]
\begin{center}
\begin{tabular}{rrrr}
  \hline
 & Estimate & t value & Pr($>$$|$t$|$) \\ 
  \hline
(Intercept) & 29.80 & 30.70 & 0.00 \\ 
  crim & -0.31 & -6.91 & 0.00 \\ 
  age & -0.09 & -6.50 & 0.00 \\ 
   \hline
\end{tabular}
\end{center}
\end{table}