It looks in the environment of your formula (which in this case is the
global environment) and then in data. Thus here are two solutions:
f2 <- function(c) {
environment(fo) <- environment()
nls(fo, data=d, start=list(a=1, b=1))
}
f3 <- function(c) nls(fo, data=c(d, c = c), start=list(a=1, b=1))
fo <- y ~ a + x^2 + b * x + c
f2(1)
f3(1)
On Wed, Jun 9, 2010 at 9:39 AM, ivo welch <ivo...@gmail.com> wrote:
> dear R wizards: environment-related programming question:
>
> myformula = y ~ a*x^2+b*x+c
> d= data.frame( x=rnorm(20), y=rnorm(20) )
>
> cat("\nunconstrained works: \n");
> nls( myformula, data=d, start=list(a=1, b=1, c=1), trace= TRUE)
>
> cat("\nconstrained works: \n");
> b=1; nls( myformula, data=d, start=list(a=1, c=1), trace= TRUE); rm(b)
>
> cat("\nbut how do I pass a local parameter into my formula? \n");
> f = function(c) nls( myformula, data=d, start=list(a=1, b=1), trace= TRUE)
>
> f(c=1);
>
> advice, as always, appreciated. /iaw
>
> ----
> Ivo Welch (ivo.we...@brown.edu, ivo.we...@gmail.com)
>
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>
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