I've been given the following data and have been asked to run a logit model using glm(). The variable, Y, is a proportion ranging from 0 to 1, X is a covariate. Without a base number of observations from which Y is computed as a proportion, I believe there is not sufficient information.
If I try the model below, R seems to grumble with a complaint.
glm(cbind(Y,1-Y) ~ X, family = binomial)
non-integer counts in a binomial glm! in: eval(expr, envir, enclos)
Am I correct to believe that more information is required?
Thanks, ANDREW
Y X [1,] 0.40 41 [2,] 0.19 69 [3,] 0.20 60 [4,] 0.29 85 [5,] 0.14 48 [6,] 0.20 32 [7,] 0.11 69 [8,] 0.28 17 [9,] 0.35 115 [10,] 0.03 15 [11,] 0.14 11 [12,] 0.12 25
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