You did not say what the problem was!
But you are asking that an object which is not in scope (index) be found a
few levels down. You should be able to fix this by substituting in the
values in fn. Here is one way:
up.obj <- update(object, data = data[index[, i], ])
Call <- up.obj$call
Call$data <- data[index[, i], ]
up.obj$call <- Call
(there are others).
On Fri, 23 Feb 2007, Dimitris Rizopoulos wrote:
> Dear all,
>
> I would like to Boostrap the stepAIC() procedure from package MASS for
> variety of model objects, i.e.,
>
> fn <- function(object, data, B = 2){
> n <- nrow(data)
> res <- vector(mode = "list", length = B)
> index <- sample(n, n * B, replace = TRUE)
> dim(index) <- c(n, B)
> for (i in 1:B) {
> up.obj <- update(object, data = data[index[, i], ])
> res[[i]] <- stepAIC(up.obj, trace = FALSE)
> }
> res
> }
>
> ####################
>
> library(MASS)
>
>
> # 'glm' objects
> x1 <- runif(100, -4, 4)
> x2 <- runif(100, -4, 4)
> y <- 1 + 2 * x1 + rnorm(100, sd = 3)
> dat <- data.frame(y, x1, x2)
> glmFit <- glm(y ~ x1 + x2, data = dat)
> fn(glmFit, data = dat)
>
> # 'aov' objects
> quine.hi <- aov(log(Days + 2.5) ~ .^4, quine)
> fn(quine.hi, data = quine)
>
>
> However, for "negbin" objects returned by glm.nb() the following
> problem occurs:
>
> quine.nb <- glm.nb(Days ~ .^4, data = quine)
> fn(quine.nb, data = quine)
>
>
> Any hints to overcome this are greatly appreciated.
>
> Thanks in advance,
> Dimitris
>
> ----
> Dimitris Rizopoulos
> Ph.D. Student
> Biostatistical Centre
> School of Public Health
> Catholic University of Leuven
>
> Address: Kapucijnenvoer 35, Leuven, Belgium
> Tel: +32/(0)16/336899
> Fax: +32/(0)16/337015
> Web: http://med.kuleuven.be/biostat/
> http://www.student.kuleuven.be/~m0390867/dimitris.htm
>
>
> Disclaimer: http://www.kuleuven.be/cwis/email_disclaimer.htm
>
> ______________________________________________
> R-devel at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-devel
>
--
Brian D. Ripley, ripley at stats.ox.ac.uk
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595