rlang::callingto the simpler
pillar::tbl_sum) with current version (on devel build)
coursekatapackage). This removes some of the messages that spout when the
generate_models()would only print the comparison models for type III SS.
factor()in it (e.g.
lm(mpg ~ factor(cyl) * hp, data = mtcars)) would result in an incorrect df (and related values) in the ANOVA table.
deparse(model$call)results in a vector of length greater than 1) would break the functionality of
generate_models()to look clean and comprehensible in Jupyter Notebooks.
pairwise()so that the plot matches the table.
pairwise()would not recognize categorical variables if they were created by using
factor()in the formula, e.g.
pairwise(lm(mpg ~ factor(cyl), data = mtcars)).
supernova()output was interpreted as a table.
supernovaif we did, but they never followed through)