Despite searching (no doubt in the wrong place) I can't seem to find simple things like the linear predictor or deviance residuals from the glm() function. Obviously it is possible to code particular instances but would I be wasting my time? ie are ther such functions? \John -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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 _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._
John Logsdon <j.logsdon at lancaster.ac.uk> writes:> Despite searching (no doubt in the wrong place) I can't seem to find > simple things like the linear predictor or deviance residuals from the > glm() function. Obviously it is possible to code particular instances but > would I be wasting my time? ie are ther such functions?residuals(glm(...)) predict(glm(...)) Both give want you want as default. (Check the residuals.glm and fitted.glm help pages). -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX: (+45) 35327907 -.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.- 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 _._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._._