Dplyr
dtplyr 1.2.0 adds three new authors, a bunch of tidyr translations, new join translations, and many minor translation improvements.
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2021/12/06
We’ve recently released a bunch of improvements to dplyr backends. multidplyr, which allows you to spread work across multiple cores, is now on CRAN. dtplyr adds translations for dplyr 1.0.0 and fixes many bugs. dbplyr 2.1.0 adds translations for many tidyr verbs, gains an author, and has improved
across() translations.
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2021/02/25
Minor release with major performance improvements for
across() and two new functions if_any() and if_all().
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2021/02/02
dbplyr 2.0.0 adds missing features from dplyr 1.0.0, numerous improvements to SQL translation (including new Amazon Redshift and SAP HANA backends), and an improved system for extending dbplyr to work with other databases.
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2020/11/04
dplyr 1.0.0 is now available from CRAN!
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2020/06/01
Learn about two last-minute additions to dplyr 1.0.0: a chattier
summarise() with more options for controlling grouping of output, and new row manipulation functions inspired by SQL.
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2020/05/06
dplyr 1.0.0 is scheduled for release on May 15. This blog post talks about what package maintainers can do to prepare.
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2020/04/29
dplyr now makes heavy use of vctrs behind the scenes. This brings with it greater consistency and (hopefully!) more useful error messages.
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2020/04/27
rowwise() has been renewed and revamped to make it easier to perform operations row-by-row. This makes it much easier to solve problems that previously required lapply(), map(), or friends.
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2020/04/10
A new
across() function makes it much easier to apply the same operation to multiple columns. It supersedes the _if(), _at(), and _all() function variants.
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2020/04/03