how does fitglm treat categorical variables?

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Dear all,
I'd like to verify something about categorical variables in fitglm. As input I use a table which also contains categorical variables (sex (0 vs 1), and education (on a scale 1 to 7). If I understand the documentation correctly, fitglm automatically treats these as categorical, and it also automatically dummy codes when necessary? (for education in this case). Is this correct?
Thanks very much.
Best
Hans van der Horn

Accepted Answer

Jeff Miller
Jeff Miller on 6 Mar 2022
I don't that is correct. WIth numerical values in the table, I think you have to mark the variables as categorical with something like:
tbl.sex = categorical(tbl.sex);
tbl.education = categorical(tbl.education);
Where there are three or more categories (e.g., education) you can check the df's to make sure that the variable has been treated as categorical (6 dfs) rather than numerical (1 df, essentially a regression slope across 1-7).
  2 Comments
Jeff Miller
Jeff Miller on 7 Mar 2022
Hi Hans,
That sounds good. If this answer solves the problem that you were having, then please accept it using the "Accept" button (so that the question no longer appears to be open).
Jeff

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