you can also use equal.count() from lattice to split up your continuous variables, then enter them as conditioning variables eg in xyplot() ________________________________________ Von: r-help-boun...@r-project.org [r-help-boun...@r-project.org]" im Auftrag von "Greg Snow [538...@gmail.com] Gesendet: Mittwoch, 19. Februar 2014 16:54 An: carol white Cc: r-h...@stat.math.ethz.ch Betreff: Re: [R] interaction.plot for continuous variables
The Predict.Plot function in the TeachingDemos package (and the related TkPredict function in the same package) are one option for creating plots to show interactions and non-linear relationships with continuous (and mix of continuous and factor variables). On Sun, Feb 16, 2014 at 6:34 AM, carol white <wht_...@yahoo.com> wrote: > Hi, > Since factor variables should be used with interaction.plot, which function > can be used to illustrate interactions between continuous variables? > > Regards, > > Carol > [[alternative HTML version deleted]] > > ______________________________________________ > 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. -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com ______________________________________________ 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.
