Comments (3)
Do you mean filter becomes select and select becomes project? In plyrmr I use subset for row selection and select for column selection.
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I'm not so keen on this proposal anymore, although I'm not in love with the function names. mutate
vs select
is particularly confusing - they can both be used to select columns, but the select
interface makes it a bit easier to select groups of columns (using e.g. wt:disp
)
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No longer in love with this idea.
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Related Issues (20)
- dplyr 1.1.4 breaks on empty dataframes constructed from matrices HOT 1
- `join_by()` allowing OR HOT 1
- Clarity of "duplicated" error message in `rename_with()`
- Negated named variables used in `across()` can't be used with `.by` argument in `mutate()`/`summarise()` etc. HOT 1
- A very strange error in an edge case
- Allow .by=row_number() in mutate statements HOT 1
- Relocate multiple columns in a pairwise fashion HOT 2
- Feature Request: Add `continuous` parameter to `slice()` or new `slice_continuous()` HOT 1
- bind_rows unexpectedly renames columns
- Deprecation of one of dplyr features in package "ncappc" HOT 3
- c_across() docs imply a dependency on rowwise()
- Variable scoping issue with .data inside lambda Ffunction used in across() HOT 2
- In `select` `!` and `-` work differently HOT 1
- Weird behavior with bind_rows(), mutate(), and ggeffects package
- rank function not working properly after using mean function HOT 1
- summarize() is not equivalent to summarise() HOT 1
- Segfault when using rbind() to combine two rowwise data frames HOT 3
- A proposed function to port plyr::mapvalues() to dplyr HOT 1
- FR: allow `pick()` to rename in `distinct()` + some thoughts about `arrange()` allowing renaming.
- group_by() documentation (v1.1.4) doesn't indicate whether ... is <tidy-select> or <data-masking> (it's <data-masking>)
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