Column type overwrite fails for recycled values
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Assessment
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Newbie friendliness
- 25/100
Research direction
Reproduce the data.table(a = 1:2)[, a := 'b'] example and inspect the [.data.table entry point that emits the coercion warnings. The issue names no source file or test; first establish the intended behavior for recycled values, then verify the chosen behavior with a regression test.
Written by the indexing model from the issue text.
Description
data.table(a = 1:2)[ , a := 'b']
Warning messages:
1: In[.data.table(data.table(a = 1:2), ,:=(a, "b")) :
NAs introduced by coercion
2: In[.data.table(data.table(a = 1:2), ,:=(a, "b")) :
Coerced 'character' RHS to 'integer' to match the column's type. Either change the target column ['a'] to 'character' first (by creating a new 'character' vector length 2 (nrows of entire table) and assign that; i.e. 'replace' column), or coerce RHS to 'integer' (e.g. 1L, NA_[real|integer]_, as.*, etc) to make your intent clear and for speed. Or, set the column type correctly up front when you create the table and stick to it, please.
Not sure if this is intended behavior... it's technically against the rule specified by the warning, but seems like a natural usage
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