On Dec 17, 2018, at 7:49 AM, S Ellison <S.Ellison at LGCGroup.com> wrote:
From: Thomas Yee [mailto:t.yee at auckland.ac.nz]
Thanks for the discussion. I do feel quite strongly that
the variables should always be a part of a data frame.
This seems pretty much a decision for R core, and I think it's useful to have raised the issue.
But I, er, feel strongly that strong feelings and 'always' are unsafe in a best practice argument.
First, other folk with different use-cases or work practice may see 'best practice' quite differently. So I would pretty much always expect exceptions.
Second, for examples of capability, there are too many exceptions in this instance. For example:
glm() can take a two-column matrix as a single response variable.
lm() can take a matrix as a response variable.
lm() can take a complete data frame as a predictor (see ?stackloss)
None of these work naturally if everything is in a data frame, and some won?t work at all.
Steve E
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