From: Ajay Narottam Shah <ajayshah_at_mayin.org>

Date: Mon 14 Aug 2006 - 23:08:27 EST

Date: Mon 14 Aug 2006 - 23:08:27 EST

What I want is this one table:

M1 M2 M3 ----------------------------------------------------------- Intercept 0.0816 3.6292 2.2272 (0.5533) (0.2316)*** (0.2385)*** x1 2.8151 2.7606 (0.5533)*** (0.3193)*** x2 -4.2899 -4.2580 (0.401)*** (0.3031)*** $\sigma_e$ 1.538 1.175 0.8873 $R^2$ 0.2089 0.5385 0.7393 -----------------------------------------------------------

How would one set about doing this? I am hoping that it's possible to write a function xtable.multi.lm where one would say xtable.multi.lm(m1,m2,m3) and get the above table.

My sense is there are three challenges:

- How to write a general R function which eats a unpredictable number of summary(lm()) objects, and fill out a matrix with results such as the above.
- How to get a good xtable(), with decimal alignment and with the *** stuff (actually, $^{***}$). Will there be any catch in dropping into mathmode for $R^2$? After each pair of lines, I'd like to have a \\[2mm] so as to get a nice spacing in the table.
- This style of presentation seems relevant to a whole host of models
- whether ARCH models or survival models - not just OLS regressions. It would be very nice if one supported all manner of model objects and not just what comes out of lm().

I'm happy to take a crack at writing this function, which should ideally go back into the xtable library. But I don't have an idea on how to go about these two questions. If you will guide me, I am happy to work on it. :-)

-- Ajay Shah http://www.mayin.org/ajayshah ajayshah_at_mayin.org http://ajayshahblog.blogspot.com <*(:-? - wizard who doesn't know the answer. ______________________________________________ R-help@stat.math.ethz.ch 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.Received on Wed Aug 16 01:08:11 2006

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