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
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