On Thu, 16 Jun 2005, Piotr Majdak wrote:
I'm looking for a solution to analyse data, which consists of
dichotomous responses (yes/no) for 2 multinomial ordinal variables.
Please explain how you get a binary response for a `multinomial ordinal
variables'? If you intend these variables to be
Prof Brian Ripley wrote:
On Thu, 16 Jun 2005, Piotr Majdak wrote:
I'm looking for a solution to analyse data, which consists of
dichotomous responses (yes/no) for 2 multinomial ordinal variables.
Please explain how you get a binary response for a `multinomial ordinal
variables'? If
As I suggested before, a binomial logistic model is appropriate here, not
a Poisson log-linear one. (They are equivalent, but the binomial version
is easier to interpret and less wasteful to fit.)
You have still not defined v' and w', nor the scores (are they estimated
or not). But the model
Prof Brian Ripley wrote:
You have still not defined v' and w', nor the scores (are they estimated
or not). But the model I suggested is such a model with scores 1,2,...
Sorry for that, here it is:
scores v and w: integer scores, reflecting the ordering of columns/rows.
Agresti suggests to
Hi Brian (and the list of course!),
I still have problems analysing data in R, because I don't know how to
tell glm() use row-effect model, please. The models are well defined
by Agresti, but can't get the link from the theory to the
implementations in R. Different names, definitions and no
Hi!
I'm looking for a solution to analyse data, which consists of
dichotomous responses (yes/no) for 2 multinomial ordinal variables. I
was trying glm() and got hierarhical models treating all variables as
nominal, but I can't figure out how to tell glm() to use a model for
ordinal data like
