On Oct 26, 2010, at 2:59 PM, Ben Hunter wrote:

> Hi everyone,
> 
> Why am I having such a tough time finding a way to put an mlogit summary
> table into latex? Everywhere I read says that using Sweave and latex is the
> most sophisticated, dynamic way to get output, but it appears very limited
> in this respect. I'm just starting out with Sweave and LaTeX and I've only
> been working with R for about 5 months. I'm suspecting this is something
> that just hasn't been done yet, but certainly there is a workaround I don't
> know about. Hope so, anyway.
> 
> Thanks a lot.
> Ben

Ben,

One thing to keep in mind is that the LaTeX related functions (save Sweave 
itself) are contributed by folks via third party packages. They are not part of 
the "core" R offering.

The two primary packages that offer LaTeX related output for common R objects 
are xtable and Hmisc (via the latex() function). In both cases, the object 
class methods that are included likely reflect, to a large extent, the most 
commonly used R objects by the authors who are then motivated to write the 
functions. In turn, these also tend to represent common usage more generally.

There may very well be someone out there who has created a specific function to 
generate LaTeX output for the two functions of interest here, but they may not 
have made them generally available for various reasons.

That being said, if you can take the relevant content of the R objects 
generated by mlogit and/or multinom and construct a matrix or data frame from 
them, you can then use the xtable() methods for a matrix or data frame to 
generate formatted LaTeX output in your Sweave document. Since most relevant 
LaTeX output is tabular in nature, using either a matrix or data frame is a 
general purpose approach to getting the content you may desire, in lieu of 
having a method specifically for a particular R object.

In addition, while this may not be a direction you wish to take, I did locate 
an Export plug in for the Rcmdr package that appears to have some relevant 
functionality for the summary.multinom() class. You may wish to consider that 
approach. More information is at:

  http://cran.r-project.org/web/packages/RcmdrPlugin.Export/

HTH,

Marc Schwartz

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