Dear all,

This question is basic but I am stumped. After running the below, I receive
the message: "non-integer #successes in a binomial glm!"

model1 <-
glmmML(y~Brood.Size*Density+Date.Placed+Species+Placed.Emerging+Year+rate.of.parperplot,
data = data, cluster= data$Patch, family=binomial(link="logit"))

My response variable is sex ratio, and I have learned quickly not to use
proportion values as data. Instead, my response variable y is a 2 column
matrix that looks like the following but with more rows. Column 1 would be
number of males and column 2 would be number of females in a brood.

         [,1]    [,2]
  [1,]   18   19
  [2,]    7   37
  [3,]    5   26
  [4,]    4   16
  [5,]    6   19
  [6,]    4   15
  [7,]   15   14
  [8,]   15   29

All the numbers in both columns are integers. I am able to use this same
format for my response variable when using the glmer() function with no
problem. In the documentation for glmmML, it says "For the binomial
families, the response can be a two-column matrix". Isn't that what I am
using? Is it immediately obvious to anyone what is wrong with my input? Or
perhaps I am doing something else wrong? Thanks so much in advance,

Tom

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