Comments (3)
Like this code I just reviewed:
currentroster <- currentroster %>%
mutate(recent_rating = ifelse(!is.na(rating2016), rating2016,
ifelse(!is.na(rating2015), rating2015,
rating2014)))
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Numeric, logical, character instances are easy. Is it important to retain factor class if all inputs are factors? And how should this work for dates?
Maybe allow the user to specify a class and then the empty result vector will be initialized with that type of NA? Edit: if possible, better to have the function detect the uniform class of the input vectors and do that automatically. Dates -> Dates without user specification.
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Not going to have this create a new variable indicating the source vector used for each value. That's a non-critical option, and this is clearest if it always returns a single vector.
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Related Issues (20)
- Bug: adorn_totals() on one-way tabyl changes attribute to two_way HOT 5
- adorn_percentages("col") after adorn_totals("col") does not work HOT 3
- Dplyr warning when using tabyl HOT 5
- extend dplyr to include tabyl class so that tabyl attributes are preserved by dplyr operations HOT 6
- adorn_totals() attempting to add additional "Total" factor level HOT 5
- remove_empty: select empty columns HOT 2
- Require character input to `make_clean_names()` HOT 1
- adorn_ns() adds excluded values to a adorn_totals() in a pipe HOT 3
- German transliterations in `make_clean_names()` HOT 4
- Feature suggestion: allow multiple rows input to `row_to_names()` HOT 16
- Feature Request: `paste_skip_na()` function that skips NA values when pasting HOT 4
- Feature suggestion: `most()` and `assert_count_true()` HOT 6
- Add paste_skip_NA to catalog vignette
- Edge case for `janitor::remove_emtpy()`: dataframe row dimension remains after columns removed HOT 1
- `get_one_to_one()` errors with duplicated dttm HOT 4
- Possible to enrich the get_dupes() HOT 1
- Upkeep proposition / spring cleaning HOT 10
- CRAN notification re: janitor/man/janitor.Rd
- Submit 2.3.0 to CRAN
- Remove `%>%` in favor of `|>`? HOT 5
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