On Mon, Mar 24, 2008 at 01:09:35PM -0500, Paul Johnson wrote:
> On Mon, Mar 24, 2008 at 8:11 AM, Duncan Murdoch <[EMAIL PROTECTED]> wrote:
> > On 3/24/2008 9:03 AM, zhijie zhang wrote:
> > > Dear Murdoch,
> >
> > > Thanks very
> >
> > I would use predict() instead. What you have there doesn't
On Mon, Mar 24, 2008 at 8:11 AM, Duncan Murdoch <[EMAIL PROTECTED]> wrote:
> On 3/24/2008 9:03 AM, zhijie zhang wrote:
> > Dear Murdoch,
>
> > Thanks very
>
> I would use predict() instead. What you have there doesn't look as
> though it uses the B-spline basis.
>
> The reference given in t
On 3/24/2008 9:03 AM, zhijie zhang wrote:
> Dear Murdoch,
> Thanks very much for your rapid response. It helps me greatly.
> If i want to write the model formula according to the estimets from
> R, Is it correct for the below formula? I'm not very sure about it, and
> i also hope that you c
Dear Murdoch,
Thanks very much for your rapid response. It helps me greatly.
If i want to write the model formula according to the estimets from R, Is
it correct for the below formula? I'm not very sure about it, and i also
hope that you can recommend a good book on this area. I want to learn
On 24/03/2008 7:06 AM, zhijie zhang wrote:
> Dear Murdoch,
>"Compare the predictions, not the coefficients.", this is the key point.
>I have checked their predicted probability and their results are the
> same.
> What do you mean by "You're using different bases"? Could you please give
>
Dear Murdoch,
"Compare the predictions, not the coefficients.", this is the key point.
I have checked their predicted probability and their results are the
same.
What do you mean by "You're using different bases"? Could you please give
me a little more info on it, so that i can go to find
On 24/03/2008 5:23 AM, zhijie zhang wrote:
> Dear Rusers,
> I am now using R and SAS to fit the piecewise linear functions, and what
> surprised me is that they have a great differrent result. See below.
You're using different bases. Compare the predictions, not the
coefficients.
To see the
Dear Rusers,
I am now using R and SAS to fit the piecewise linear functions, and what
surprised me is that they have a great differrent result. See below.
#R code--Knots for distance are 16.13 and 24, respectively, and Knots for y
are -0.4357 and -0.3202
m.glm<-glm(mark~x+poly(elevation,2)+bs(di
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