Dear all. Apologies if I am asking a stupid question, but I have been
unable to find a solution so far.
I would like to run a logistic regression in which individual data points
are assigned different weights (related to my confidence in their
validity). These individual observations are binary (success/failure). My
intuition was to use the "weights" option in the vlm function. Something
along the lines of:
mod1 <- glm(success ~ beach - 1, weights = confidence, data = dat, family
= binomial),
where success is binary (1/0), beach is a factor and weights are either 1
(full confidence) or 0.5 (less confidence).
When I ran into the "non-integer #successes in a binomial vlm!" error, and
read the help files, I realised my error (in binomial glm, weights set the
number of trials). It's good to know WHY my approach was wrong, but it
would be better to know how to conduct my analysis correctly.
Any ideas appreciated.
Dave