[R-sig-ME] poly() and rcs()?
Antoine Tremblay
trea26 at gmail.com
Wed Nov 18 06:12:22 CET 2009
Dear Paul,
Thank you very much for the document, it is of great help :-)
I guess what I mean by the linear term is the b1xi in the equation yi
= ˆb0 + ˆb1 xi + ˆb2 (xi − τ1 )3 + ˆb3 (xi − τ2 )3 + + . . .
The summary output for lmer with rcs() only seems to give statistics
for the b(xi − τ)3 s, but not for the b1xi term.
Thanks again for that document, it's great!
Antoine
On Tue, Nov 17, 2009 at 11:19 PM, Paul Johnson <pauljohn32 at gmail.com> wrote:
> On Sun, Nov 15, 2009 at 2:20 PM, Antoine Tremblay <trea26 at gmail.com> wrote:
>> Dear all,
>>
>> Here is a question regarding the difference between using poly() and rcs().
>>
>> If you fit a model using poly(), as shown below, the summary returns
>> statistics for the term "linear" term,
>> poly(TrialContinuous,2,raw=TRUE)1, and statistics for the quadratic,
>> poly(TrialContinuous,2,raw=TRUE)2.
> [snip]
>> Now, if you use rcs() instead, the summary return statistics for the
>> first and second splines, as shown below. We see that the 2 splines
>> are significant, but there is no interaction between any of the
>> splines and FreqGroup.
>
> Dear Antoine:
>
> I am not an expert, but I *think* you need to more carefully consider
> what rcs does. If you are using rcs from the Design package, that is:
> It is a restricted cubic spline. It is not similar to poly looking
> for a parametric curve across the whole range. Rather, it is dividing
> up the range of X into pieces and then fitting a cubic curve to each
> one. There is not supposed to be a "linear" term.
>
> A couple of years ago, I decided to try to master some of that
> terminology and I wrote up something for my class. I'm pretty sure I
> got the rcs part correct.
>
> http://pj.freefaculty.org/stat/Splines/nonparametricModels.pdf
>
> Look down to p. 17, where (I see now) I was curious about where the
> linear term went, just like you are now.
>
> Good luck
>
> pj
>
>> --
>> Antoine Tremblay
>> Department of Neuroscience
>> Georgetown University
>> Washington DC
>>
>> _______________________________________________
>> R-sig-mixed-models at r-project.org mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
>>
>
>
>
> --
> Paul E. Johnson
> Professor, Political Science
> 1541 Lilac Lane, Room 504
> University of Kansas
>
--
Antoine Tremblay
Department of Neuroscience
Georgetown University
Washington DC
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