Dear Vito,
Thanks for the quick reply.
In the case of splitting up the data, would it be advisable to
independently fit a GLM on the subsets of the data, or use one single
GLM for comparison in the 'segmented' function?
Kind regards,
Peter
On Fri, Jun 1, 2012 at 2:21 PM, Vito Muggeo (UniPa)
<vito.mug...@unipa.it> wrote:
> dear Peter,
> Currently segmented handles multiple breakpoints for several variables (the
> limit discussed in the msg 2006 has been fixed..).
>
> However you are looking for a somewhat complicated model where the
> breakpoint of the relationship 's.size' and 'R.AUC' depends on another
> covariate 'bedekking'. Namely it is an interaction in the breakpoint
> parameter (rather then in a linear parameter).
>
> Currently segmented is not able to deal with these interactions, and
> splitting up the data into two or three groups according the values of
> bedekking could be a feasible alternative.
>
> Hope this helps you,
>
> vito
>
>
>
>
> Il 01/06/2012 11.35, Peter Hoitinga ha scritto:
>>
>> Hello,
>>
>> I'm attempting to find multiple breakpoints in an association of my
>> response variable (R.AUC) with two explanatory variables ('s.size' and
>> 'bedekking'). The association between 's.size' and 'R.AUC' shows a
>> plateau, but the value when this plateau is reached is differs for
>> different values of 'bedekking'.
>>
>> Initially I thought these different values could be assessed by the
>> 'segmented' function in the package of the same name, but this only
>> seems to give one value of a breakpoint for each explanatory variable.
>> A similar issue was treated in the following message from 2006:
>> https://stat.ethz.ch/pipermail/r-help/2006-January/086446.html
>>
>> Does anybody know whether there are any packages that do have a
>> function for this? Or might it be a possibility to split up the data
>> per value of 'bedekking' and then do the segmented function?
>>
>> ______________________________________________
>> 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.
>>
>
> --
> ====================================
> Vito M.R. Muggeo
> Dip.to Sc Statist e Matem `Vianelli'
> Università di Palermo
> viale delle Scienze, edificio 13
> 90128 Palermo - ITALY
> tel: 091 23895240
> fax: 091 485726
> http://dssm.unipa.it/vmuggeo
> ====================================
______________________________________________
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.
