Currently datasets like Higgins1990Table5 use codings like "1", "2", "3", ... for factors, which can look like numeric data in examples and printed tables even though they aren't. I suspect this contributes to people passing in numeric data for factors (see issue #5).
Simple solution here is to rename the levels to things that are obviously strings and not numeric.
Currently datasets like Higgins1990Table5 use codings like "1", "2", "3", ... for factors, which can look like numeric data in examples and printed tables even though they aren't. I suspect this contributes to people passing in numeric data for factors (see issue #5).
Simple solution here is to rename the levels to things that are obviously strings and not numeric.