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ggeffects plots generated to show predictions from binomial logistic models do not plot data, i.e., show_data=TRUE does not work ("raw data not available"). This does, of course, make sense given the nature of the DV (e.g., glmer = cbind(outcome_occurring, outcome_not_occurring) ~ variable names). However, this also implies that limit_range=TRUE does not work, which is problematic, as plots show predictions that go well beyond the range of the data. Are there solutions to this problem?
The text was updated successfully, but these errors were encountered:
ggeffects plots generated to show predictions from binomial logistic models do not plot data, i.e., show_data=TRUE does not work ("raw data not available"). This does, of course, make sense given the nature of the DV (e.g., glmer = cbind(outcome_occurring, outcome_not_occurring) ~ variable names). However, this also implies that limit_range=TRUE does not work, which is problematic, as plots show predictions that go well beyond the range of the data. Are there solutions to this problem?
The text was updated successfully, but these errors were encountered: