Ahh, yes. The level made all the difference. I originally thought the
level only applied to binomial response variables, so I disregarded
it.
And I'll just add that plot(e) below still produced an indexed x
axis, so I just combined the vectors and then was able to plot the
scaled variable
I'm having some difficulty with graphing outputs of a GLM model I've
been working. I have count data for both my predictor (only 1) and
response variables, and I have pseudoreplication which I've modeled as
a random effect. The odTest() from pscl:: indicated that the negative
binomial distribution
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