Dan-Erik wrote:

> When I was doing SEM using R for my master thesis, I found it rather
> difficult to work with. Just finding the package for R and installing
> it took some time, then trying to work out the somewhat lacking
> documentation and figuring out how to use the different parts of the
> package was far from easy. When I finally figured out how to work with
> the thing, plotting the graphs left a lot to be desired. I ended up
> plotting the graphs in the very basic form that R provides until I got
> the model I wanted to use and then I had to re-draw the chart manually
> using Inkscape to get it in a form that I thought was presentable.
> 
> Basically, the SEM package for R isn't complete. And it also has a few
> bugs in it, which means that negative values for covariance produces
> very awkward results. These bugs are acknowledged by the author of the
> package, but as far as I know there hasn't been any development for
> quite a while. The homepage of the author (jfox, linked from
> http://cran.r-project.org/web/packages/sem/index.html) isn't even
> available any longer. Even with the issues of bugs and rough
> documentation and difficult interface and so forth, the basic
> functionality of the SEM package for R is working well enough to
> present some data. But the options for producing good graphs from the
> data is just not acceptable in my opinion.


Are you talking about this package, or something different?

http://openmx.psyc.virginia.edu/

(I have no idea what SEM is, other than what you've said above.  It just 
looked like this package was better than what you described above...)

Thanks,

Jason



-- 
Jason Grout


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