Look at Predict.Plot (and possibly TkPredict) in the TeachingDemos package.
-- Gregory (Greg) L. Snow Ph.D. Statistical Data Center Intermountain Healthcare [email protected] 801.408.8111 > -----Original Message----- > From: [email protected] [mailto:r-help-boun...@r- > project.org] On Behalf Of Sonja Klein > Sent: Saturday, November 20, 2010 4:52 AM > To: [email protected] > Subject: [R] How to produce a graph of glms in R? > > > I'm very new to R and modeling but need some help with visualization of > glms. > > I'd like to make a graph of my glms to visualize the different effects > of > different parameters. > I've got a binary response variable (bird sightings) and use binomial > glms. > The 'main' response variable is a measure of distance to a track and > the > parameters I'm testing for are vegetation parameters that effect the > response in terms of distance. > My glm is: glm(Response~NEdist+I(NEdist^2)+Distance+I(Distance^2) which > is > the basic model and where I add interactions to, like for exampls > Visibility > as an interaction to Distance > (glm(Response~NEdist+I(NEdist^2)+Distance*Visibility+I(Distance^2))) > > I'd now like to make a graph which has the response variable on the y- > axis > (obviously). But the x-axis should have distance on it. The NEdist is a > vector that is just co-influencing the curve and has to stay in the > model > but doesn't have any interactions with any other vectors. > I'd then like to put in curves/lines for the different models to see if > for > example visibility effects the distance of the track to the first bird > sighting. > > Is there a way to produce a graph in R that has these features? > -- > View this message in context: http://r.789695.n4.nabble.com/How-to- > produce-a-graph-of-glms-in-R-tp3051471p3051471.html > Sent from the R help mailing list archive at Nabble.com. > > ______________________________________________ > [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 > and provide commented, minimal, self-contained, reproducible code. ______________________________________________ [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 and provide commented, minimal, self-contained, reproducible code.
