[R] interaction.plot for continuous variables

Scherber, Christoph Christoph.Scherber at agr.uni-goettingen.de
Wed Feb 19 17:56:04 CET 2014


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-bounces at r-project.org [r-help-bounces at r-project.org]" im Auftrag von "Greg Snow [538280 at gmail.com]
Gesendet: Mittwoch, 19. Februar 2014 16:54
An: carol white
Cc: r-help at 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_crl at 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]]
>
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--
Gregory (Greg) L. Snow Ph.D.
538280 at gmail.com

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