Hi,
I suspect that the warning may be coming from stats::model.frame.default(),
with text along the lines of:
"contrasts dropped from factor YOUR.FACTOR.NAME due to missing levels"
You might want to see if the student has a ~/.Rprofile file that has some
modified default options regarding co
A guess (treat accordingly):
Different BLAS versions are in use on the two different machines/versions.
In one, near singularities are handled, and in the other they are not,
percolating up to warnings at the R level.
You can check this by seeing whether the estimated fit is the same on the 2
mac
I am helping a student with some logistic regression analyses and we are
getting some strange inconsistencies regarding a warning about factor
levels being dropped when running predict.glm(, newdata = ournewdata) on
the logistic regression model object. We have checked multiple times that
the fact
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