I'm afraid you need to modify your approach. You're trying to pass latex an lm object, which latex doesn't know how to handle. Also, latex isn't supposed to produce a full .tex file; it generates just a "core" that's loaded into a "shell" when you run dvi.
Here's an example of how you might use it appropriately: l <- latex(summary(lm(b ~ a, data.frame(a = 1:5, b = 1:5)))$coefficients) d <- dvi(l) d If you want the full .tex file, you can read the console output after running dvi(l) to find out where the .tex tempfile lives and copy it over to someplace usable. Obviously, you'll have to tweak the row and column names as well as the rounding to suit your preferences. If you're just looking for graphical output--not necessarily a .tex file--I have a function grid.table, now being rolled into a package I will soon release, which uses grid to place a data frame (neatly) on the graphics device. You could then wrap the command around a pdf(), postscript() or any other device to produce an appropriate display. Let me know if you'd like me to send over my working version of the binaries. Kevin -----Original Message----- From: [EMAIL PROTECTED] [mailto:[EMAIL PROTECTED] On Behalf Of Joao Pedro W. de Azevedo Sent: Wednesday, August 25, 2004 4:02 AM To: [EMAIL PROTECTED] Subject: [R] Help using Hmisc / Latex Dear R users, I'm trying to automatically generate a *.tex file with the output of an OLS estimation. Some people suggested to use the latex function on the Hmisc package. I'm having a bit of trouble to properly specify this function (I'm not a very experienced R user). Below you will find an example, of what I'm doing. ## Annette Dobson (1990) "An Introduction to Generalized Linear Models". ## Page 9: Plant Weight Data. summary(lm.D90 <- lm(weight ~ group - 1))# omitting intercept out <- latex(lm.D90) latex(out, model1, file="") When I run this code, I get an output which does not attend my needs. First, I could not figure out how to print the variable names. Second I'm not sure how I can select only the coefficients and the std. errors to be inserted on the output. Third, I was wondering if there is any way I can automatically generate significance level indicators next to either the coefficients or the std erros. Forth, is there any way I can aumtomaticaly insert some of model fitting statistics? Fifth, is it possible to specify this function to save the std. error under the coefficient? I'm sure this are quite basic questions, but my attempts to fiddle with the parameters in the model took me nowhere. Many thanks once again, Joao Pedro ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html ______________________________________________ [EMAIL PROTECTED] mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html