On Monday 25 January 2010 02:40, hellen lee wrote:
> Hi, all
>
> I have a question on mgcv and ns. Now I want to compare the results from
> glm, gam and ns. Take a simple model y~x for example.
>
> glm1 = glm(y~x, data=data1)
> gam1 = gam(y~s(x), data=data1)
> ns1 = glm(y~ns(x),data=data1)
>
> In o
On Sun, 2010-01-24 at 16:28 -0500, hellen lee wrote:
> Hi, all
>
> I have a question on mgcv and ns. Now I want to compare the results from
> glm, gam and ns. Take a simple model y~x for example.
>
> glm1 = glm(y~x, data=data1)
> gam1 = gam(y~s(x), data=data1)
> ns1 = glm(y~ns(x),data=data1)
>
>
Hi, all
I have a question on mgcv and ns. Now I want to compare the results from
glm, gam and ns. Take a simple model y~x for example.
glm1 = glm(y~x, data=data1)
gam1 = gam(y~s(x), data=data1)
ns1 = glm(y~ns(x),data=data1)
In order to confirm the result from glm1 is consistent to those from gam
Hi, all
I have a question on mgcv and ns. Now I want to compare the results from
glm, gam and ns. Take a simple model y~x for example.
glm1 = glm(y~x, data=data1)
gam1 = gam(y~s(x), data=data1)
ns1 = glm(y~ns(x),data=data1)
In order to confirm the result from glm1 is consistent to those from gam
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