Dear List
I am a little unsure how to structure my model and was after some advice. I am
a little unsure if this question is appropriate for this list, if it is not
please just delete and accept my apologise.
I have 10 factors that are categorical variables and 5 levels of response
variables -
A B
C D -
Factors RESPONSE
2 2
2 2
1
2 4
2 2
2
2 1
2 2
2
2 1
2 1
1
2 3
2 2
3
2 1
1 2
4
2 1
2 3
4
1 1
3 2
2
2 2
2 2
1
2 1
5 2
1
The response variables relate to how threatened the species is - from not
threatened to extinct (1-5)
My first approach was to divide the 5 response levels into 2 - threatened (
levels 1+2) or non threatened (levels 3,4+5) and call
model1 <- lmer(THREAT~1+(1|ORDER/FAMILY) + A+B+C+D..., family=binomial)
Which worked well, now i want to see how the factors influence the individual
response variables i.e do species with a response variable of 1 for instance,
posses certain combinations of factors, and it is this i am unsure how to build
into a model.
My overall goal would be to use the model as a predictive model and ask - "if a
species has factors a ,b,c for instance , can i predict what the response level (0-5)
would be".
Thanks, and once again i apologise if this is not the right place to ask this
type of question.
Sam,
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