[R] sampling and nls formula

From: Susan Imholt <smimholt_at_excite.com>
Date: Tue 07 Feb 2006 - 11:06:34 EST


I am trying to bootstrap a function that extracts the log-likelihood value and the nls coefficients from an nls object. I want to sample my dataset (pdd) with replacement and for each sampled dataset, I want to run nls and output the nls coefficients and the log-likelihood value.


i<-sample(10, replace=TRUE)


     pdd.nls<-nls(d$y~(a*(d$x)^2)/(b+(d$x)^2), data=pdd, start = list(a = 30, b = 36), trace=FALSE)
     coeff <- coef(pdd.nls)
     lik.coef <- c(pdd.logLik, coeff)


pdd.boot<-boot(data=pdd, statistic=pdd.lik.coef, R=1000) pdd.boot$t

My problem lies in the pdd.lik.coef function. It seems that nls recognizes all letters in the formula d$y~(a*(d$x)^2)/(b+(d$x)^2) as parameters, so "d$y" and "d$x" in the formula aren't being recognized properly to be sampled, rather the "d" is interpreted as a parameter. When I try to bootstrap this function, I get an error message: "Error in eval(expr, envir, enclos) : object "d" not found" (because I didn't specify an estimate for d as a parameter, since I didn't intend for it to be a parameter).

Any suggestions?

Susie Imholt
Master's Candidate
Huxley College of the Environment
Western Washington University
Bellingham, WA USA

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