[R] nls question
Bill Simpson
wsi at gcal.ac.uk
Fri Apr 27 11:25:36 CEST 2001
I have a question about passing arguments to the function f that nlm
minimizes.
I have no problems if I do this:
x<-seq(0,1,.1)
y<-1.1*x + (1-1.1) + rnorm(length(x),0,.1)
fn<-function(p)
{
yhat<-p*x+(1-p)
sum((y-yhat)^2)
}
out<-nlm(fn,p=1.5,hessian=TRUE)
But I would like to define
fn<-function(x,y,p)
{
yhat<-p*x+(1-p)
sum((y-yhat)^2)
}
so that I can pass the x and y variables along, doing something like
out<-nlm(fn,x=this, y=that,p=1.5,hessian=TRUE)
This version doesn't work of course. I have looked at the examples and
can't figure out how to do what I want. Is it possible?
Thanks very much for any help.
(BTW I know nls() can be used for nonlinear least squares fitting. It
choked on this problem.)
Bill Simpson
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