Dear John, This is exactly what I need, thank you so much for the tip (and thank you so much for this wonderful package too).
Best, Shige On Sat, Nov 13, 2010 at 10:50 AM, John Fox <j...@mcmaster.ca> wrote: > Dear Shige, > > As documented in ?plot.eff, the default is to plot on the scale of the > linear predictor (the logit scale, for a logit model), which preserves the > linearity of the model (which, I would think, is generally desirable), but > to label the axis on the scale of the response (the probability scale). As > is also documented, setting rescale.axis=FALSE will plot on the scale of the > response. > > I hope this helps, > John > > -------------------------------- > John Fox > Senator William McMaster > Professor of Social Statistics > Department of Sociology > McMaster University > Hamilton, Ontario, Canada > web: socserv.mcmaster.ca/jfox > > >> -----Original Message----- >> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] > On >> Behalf Of Shige Song >> Sent: November-13-10 10:14 AM >> To: r-help Help >> Subject: [R] Question about the "effects" package >> >> Dear All, >> >> I am using the "effects" package to produce predicted probability from >> a logistic regression. The graph looks really good. I soon realized >> that the y-axis is not spaced equally. For example, in my case, the >> distance between 0.02 and 0.04 is much greater than that between 0.06 >> and 0.08. I can guess a reason for this, but unfortunately, this >> distorts my story. Is there a way to change this and make the y-axis >> equally spaced? >> >> Many thanks. >> >> Best, >> Shige >> >> ______________________________________________ >> R-help@r-project.org 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. > > > ______________________________________________ R-help@r-project.org 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.
