Dear All,
I have a function which takes a n x m matrix as an argument and returns
an n x n matrix. I want to take bootstrap samples form the input matrix in
the way as each row represent a multivariate observation, so each
bootstrap sample would be an n x m matrix, and on each sample I want to
calculate the n x n matrix.
This task can be done with the sample function, but I would like to use
the boot() function. I hope that it is going to be faster.
Something like this:
f1 <- function(nxm.matrix){...; return(nxn.matrix)}
f2 <- function(nxm.matrix, i) f1(nxm.matrix[i,])
boot.out <- boot(nxm.matrix, R, f2)
Error: incorrect number of subscripts on matrix
Since the final goal would be to put a confidence interval on the
statistics in each cell of the matrix I would like to use the boot.ci.
Even if I do the resampling with the sample function and I just use the
boot.ci by artificially putting togethet an boot.out type of list I run
into problems. Any idea how to set it up?
Also a note, the examples at the end of the boot.ci documentation, for the
city and gravity data set I get error messages for boot.ci() call. Did
anyone else noticed that? E.g.
> boot.ci(grav1.boot, type=c("stud","norm"))
[1] "odd number of coulumns"
[,1] [,2]
[1,] "95/-5.803" "0.123/-6.929"
Error in paste("(", ints1[, 2 * (1:n1)], ",", sep = "") :
subscript out of bounds
Thanks for any help in advance!
Katalin
___
Katalin Csillery
Division of Biological Sciences
University of Montana, Missoula MT 59801
Phone: 406 243 6106, E-mail: [EMAIL PROTECTED]
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