SOLVED:
xs <- canonical(smell.rsm)$xs
> xs
x1 x2 x3
0.1219125 0.1995746 1.7705249
> persp(smell.rsm,~x1+x2,at=xs,contour=TRUE)
>
On Tue, Dec 3, 2013 at 9:33 PM, Erin Hodgess <erinm.hodg...@gmail.com>wrote:
> Dear R People:
>
> I am using Response Surface Models and and also using the "persp" function
> to plot them.
>
> Today my particular model is y~ x1 + x2 + x3
>
> I can fit my RSM easily. My question is: how do I use the persp such
> that I can fix the x3 at a particular value, please?
>
> > smell.code <- coded.data(smell.df,x1~(T-80)/40,x2~(R-0.5)/0.2,x3~(H-4)/2)
> > smell.rsm <- rsm(Odor~SO(x1,x2,x3),data=smell.code)
> >
>
> > persp(smell.rsm,x1~x2,contour=TRUE)
> >
>
> I would like to set the x3 to be at the optimum value (available from the
> model)
>
> Thanks in advance for any help.
>
>
> Sincerely,
> Erin
>
> --
> Erin Hodgess
> Associate Professor
> Department of Computer and Mathematical Sciences
> University of Houston - Downtown
> mailto: erinm.hodg...@gmail.com
>
--
Erin Hodgess
Associate Professor
Department of Computer and Mathematical Sciences
University of Houston - Downtown
mailto: erinm.hodg...@gmail.com
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