Skip to content
Prev 305298 / 398506 Next

boot() with glm/gnm on a contingency table

Tim Hesterberg 
One approach is to bootstrap the vector 1:n, where n is the number
of individuals, with a function that does:
f <- function(vectorOfIndices, theTable) {
  (1) create a new table with the same dimensions, but with the counts
  in the table based on vectorOfIndices.
  (2) Calculate the statistics of interest on the new table.
}

When f is called with 1:n, the table it creates should be the same
as the original table.  When called with a bootstrap sample of
values from 1:n, it should create a table corresponding to the
bootstrap sample.

Tim Hesterberg
http://www.timhesterberg.net
 (resampling, water bottle rockets, computers to Costa Rica, shower = 2650 light bulbs, ...)

NEW!  Mathematical Statistics with Resampling and R, Chihara & Hesterberg
http://www.amazon.com/Mathematical-Statistics-Resampling-Laura-Chihara/dp/1118029852/ref=sr_1_1?ie=UTF8

Thread (5 messages)

Milan Bouchet-Valat boot() with glm/gnm on a contingency table Sep 11 Tim Hesterberg boot() with glm/gnm on a contingency table Sep 12 Milan Bouchet-Valat boot() with glm/gnm on a contingency table Sep 12 Tim Hesterberg boot() with glm/gnm on a contingency table Sep 12 Milan Bouchet-Valat boot() with glm/gnm on a contingency table Sep 16