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4,442 contributions in the last year
Activity overview
Contribution activity
May 2020
Created a pull request in tidyverse/dplyr that received 4 comments
Use different approach in group_data.data.frame()
Maybe fixes #5182 @romainfrancois I was coincidentally working on this!
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- summarise() regrouping information, take 2
- nest_by() improvements
- round down proportions on slice_tail()
- Fix with_non_utf8_encoding()
- across(<empty>) -> data frame with 0 columns and 1 row.
- Correctly register rowwise reconstruct method
- Update tidyselect docs
- Use classed error for duplicate value
- Ensure that `filter()` always calls `dplyr_row_slice()`
- Ensure that `arrange()` always calls `dplyr_row_slice()`
- dplyr_col_modify.data.frame() calling dplyr_reconstruct()
- across() and c_across() when used out of dplyr context
- Update gitHub actions
- summarise(.groups=)
- group_data.data.frame not trying so hard to call `[`
- lead(), lag(): cast default to common type rather than to type of x.
- Add Dependencies sections to vctrs functions
- Improve consistency of recycling errors
- Silently fall back to base data frame type in comparison operators
- Implement `vec_arith()` and `vec_math()` for POSIXlt
- Make tibble subclass example more realistic
- Improve `vec_cast()` error messages
- Adjust vignette to new date conversion error on r-devel
- Review `?vec_ptype2`, `?vec_cast`, and `?vec_proxy`
- Mention loss of generality instead of precision when relevant
Created an issue in RConsortium/OOP-WG that received 15 comments
Interface evolution?
Should we consider the challenge of changing the interface of a generic (i.e. adding or removing arguments, or moving a generic between packages). …
15
comments
1
contribution
in private repositories
May 7