rbindlist silently dropping NA factor level
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Assessment
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Newbie friendliness
- 38/100
Research direction
Start by reproducing the issue with the two data frames and rbindlist() example in the report, then read the rbindlist() factor-handling documentation. Trace the implementation and existing tests for factor level merging, and determine whether NA levels should be preserved or the behavior documented; done means the intended behavior is covered by a regression test.
Written by the indexing model from the issue text.
Description
> df1 <- data.frame(col = factor(c('A', NA, 'B'), exclude = NULL))
> levels(df1$col)
[1] "A" "B" NA
> df2 <- data.frame(col = factor('C'))
> df <- data.table::rbindlist(list(df1, df2))
> levels(df$col)
[1] "A" "B" "C"
The documentation for data.table::rbindlist() reads:
If a column contains factors then a factor is created. [...] Any strings in regular factor and character columns which are missing from the longest ordered levels are added at the end.
Unfortunately, NA factor levels are silently dropped. Is this by design and intended? Because I don't expect any factor levels to be dropped.
I am using data.table_1.12.4.
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