# glmer() warning message with proportional data

My response variable is a proportion of time spent in an activity. My original dataset looks like this:

name      jdate    start    duration   touristeffort feeding   fp
1 ANUBIS    24    11.23333  20.00000     9.483333   16.683333   N
2 ANUBIS    26    15.53333  20.00000     2.466667    9.716667   N
3 ANUBIS    27    7.25000   12.16667      0.000000   2.616667   N
4 ANUBIS    30    9.70000   20.00000     48.000000   14.300000  N
5 ANUBIS    30   10.15000   20.00000     19.200000   6.600000   N
6 ANUBIS    30    12.64167  20.00000      2.500000   14.616667  N


The model code I thought would be appropriate was following the centring and scaling of the fixed effects (ie. touristeffortc, jdatec, startc, fpc) was:

cm1<-glmer(feeding/duration~touristeffortc+jdatec+startc+fpc+(1|name),
weights=duration, family=binomial, data=turtleF)


However, I can't seem to fix my model in any way to remove the warning message:

Warning message:
In eval(family\$initialize, rho) : non-integer #successes in a binomial
glm!


I've tried using the quasibinomial family or including

(cbind(feeding, feeding-duration))


as my response instead of including weights, but neither of these changes resolves the error message problem.

Is binomial the family to use or is this error message telling me to consider a different family type? If anyone can tell me how to fix my code or data to get around this issue it would be so appreciate!