Justin Rapp wrote: > I am modeling the probability of player succeeding in the NFL with a > binomial logistic regression with 1 signifying success and 0 > signifying no success. I performed the regression of the binomial > variable against overall draft position using the college conference > for which each player played as a factor using the > as.factor(Conference) command. > > My question is: > > How do I plot specific factors against the curve for the entire set. > There are only a few factors that have significant coefficients and I > would like to plot those against the logistic curve for the entire > set. > > Any help would be greatly appreciated. >
It will bias the analysis to omit insignificant factors. To get the plots you want: library(Hmisc); library(Design) dd <- datadist(mydata); options(datadist='dd') f <- lrm(y ~ x1+x2+....) plot(f, x1=NA, fun=plogis) plot(f, x2=NA, fun=plogis) plot(f, fun=plogis) # plot partial effects of all predictors, probability scale -- Frank E Harrell Jr Professor and Chair School of Medicine Department of Biostatistics Vanderbilt University ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html