Hi, I want to generate sdome vectors with results from glm(), for later processing. How can I extract the t values and the associated p values? I suppose something starting with summary(g)$... Thanks iago --- Bellare semper illicitum est -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
Accesing glm results
2 messages · Iago Mosqueira, Thomas Lumley
On Wed, 6 Feb 2002, iago mosqueira wrote:
Hi, I want to generate sdome vectors with results from glm(), for later processing. How can I extract the t values and the associated p values? I suppose something starting with summary(g)$...
The answer is summary(g)$coef[,3:4] The way to find out things like this is to use names() or str() to look at the glm and summary.glm objects. summ<-summary(g) names(summ) # I see a coefficients item. I wonder what it looks like summ$coefficients # That looks familiar, it's the table of coefficients, std erros, #p-values. I want the last two columns summ$coefficients[,3:4] #Success Or alternatively, read print.summary.glm() to see where it gets them from. -thomas Thomas Lumley Asst. Professor, Biostatistics tlumley at u.washington.edu University of Washington, Seattle -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- r-help mailing list -- Read http://www.ci.tuwien.ac.at/~hornik/R/R-FAQ.html Send "info", "help", or "[un]subscribe" (in the "body", not the subject !) To: r-help-request at stat.math.ethz.ch _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._