Generalized Additive Models: How to create publication-ready regression tables
In many cases a flexible parametric fit, using regression splines, will result in a fit that is as good as a gam, with similar regression shapes. The rms package has a latex method that will represent such fits in interpretable algebraic form. latex(fit) does that, and print(fit, latex=TRUE) will give a nice table though not formatted in the way you described. Frank
Emilio L?pez wrote:
You may "build" your customized matrix merging the components of the objects before calling the xtable function: my.matrix <- rbind(model$coefficients, [vector containing errors]) xtable(my.matrix) (I'm sorry I don't know exactly where the standard errors are stored / how to compute them) You can paste parentheses before and after the number with the paste function. Best, Emilio Maybe your can manipulate the standard errors in the object as text, pasting the parenthesis before and after with the paste function (before you call the xtable function) 2011/10/8 davidyeager <dyeager@>
Thanks! Yes, that produces tables that are formatted in the same way as the gam output. I'm hoping to have publication-ready tables that have standard errors in parentheses listed below coefficients. Do you know of a method to do that? David -- View this message in context: http://r.789695.n4.nabble.com/Generalized-Additive-Models-How-to-create-publication-ready-regression-tables-tp3884432p3885238.html Sent from the R help mailing list archive at Nabble.com.
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----- Frank Harrell Department of Biostatistics, Vanderbilt University -- View this message in context: http://r.789695.n4.nabble.com/Generalized-Additive-Models-How-to-create-publication-ready-regression-tables-tp3884432p3887519.html Sent from the R help mailing list archive at Nabble.com.