[R] Robust nonlinear regression - sin(x)/x?
cstrato at aon.at
Mon Feb 2 20:28:51 CET 2004
Since I did not receive any answer to my general question (?),
let me ask a concrete question:
How can I fit the simple function y = a*sin(x)/b*x?
This is the code that I tried, but nls gives an error:
x <- seq(1,10,0.1)
y <- sin(x)/x
z <- jitter(y,amount=0.1)
df <- as.data.frame(cbind(x,z))
nf <- nls(z ~ a*sin(x)/b*x, data=df,
start=list(a=0.8,b=0.9), trace = TRUE)
I have followed the Puromycin sample which works fine:
Pur.wt <- nls(rate ~ (Vm * conc)/(K + conc), data = Treated,
start = list(Vm = 200, K = 0.1), trace = TRUE)
Do I make some mistake or is it not possible to fit sin(x)/x?
Thank you in advance
> Dear R experts
> This is a general question:
> Does R have functions for nonlinear robust regression,
> analogous to e.g. LTS?
> Searching google I have found
> 1, an abstract to generalize LTS for nonlinear regression
> models, see: http://smealsearch.psu.edu/1509.html
> 2, an AD-model builder, see: http://otter-rsch.com/admodel/cc1.html
> but no mention of R/S
> Thank you in advance
> Best regards
> C.h.i.s.t.i.a.n S.t.r.a.t.o.w.a
> V.i.e.n.n.a A.u.s.t.r.i.a
> R-help at stat.math.ethz.ch mailing list
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