Hi,
I would like to fit my data with a 4th order polynomial. Now I have only
5 data point, I should have a polynomial that exactly pass the five point
Then I would like to compute the "fitted" or "predict" value with a
relatively large x dataset. How can I do it?
BTW, I thought the model "prodfn" should pass by (0,0), but I just
wonder why the const is unequal to zero
x1<-c(0,3,4,5,8)
y1<-c(0,1,4,7,8)
prodfn<-lm(y1 ~ poly(x1, 4))
x<-seq(0,8,0.01)
temp<-predict(prodfn,data.frame(x=x)) # This line does not work..
> prodfn
Call:
lm(formula = y1 ~ poly(x1, 4))
Coefficients:
(Intercept) poly(x1, 4)1 poly(x1, 4)2 poly(x1, 4)3 poly(x1, 4)4
4.000e+00 6.517e+00 -4.918e-16 -2.744e+00 -8.882e-16
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