Comments (5)
Maybe not because we still want to do things like log(var)
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Hard because you might want to allow I(x * y)
to be computed algebraically and not represent interactions
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Adding some notes on what led me to the right answer:
when indicators = FALSE
:
- check that factor columns are only by themselves (factorcol + x) not factorcol:x or paste0(factorcol)
- uses terms() directly on the formula, along with original factor classes to determine this
- throws error if factor columns are used not by themselves
- remove the factor columns from the data
- remove the factor columns from the formula? (append
- factorcol
) - run model.matrix(formula_no_factors, data_no_factors)
- matrix -> tibble
- add the factor columns back onto the data
- Original positions are not kept, but this seems ok
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Closed by #42
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This issue has been automatically locked. If you believe you have found a related problem, please file a new issue (with a reprex: https://reprex.tidyverse.org) and link to this issue.
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