Dplyr-1-1-0
![](/blog/2023/03/dplyr-1-1-1/thumbnail-sq.jpg)
Davis Vaughan
dplyr 1.1.1 is on CRAN! This patch release includes a number of performance regression fixes along with refinements to the multiple match join warnings that result in warnings being thrown much less often.
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2023/03/22
![](/blog/2023/02/dplyr-1-1-0-pick-reframe-arrange/thumbnail-sq.jpg)
Davis Vaughan
This final post contains a grab-bag of new features, including:
pick()
for column selection inside of data-masking functions, reframe()
as the new home for summarise()
's multi-row behavior, and major performance improvements to arrange()
.
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2023/02/07
![](/blog/2023/02/dplyr-1-1-0-vctrs/thumbnail-sq.jpg)
Davis Vaughan
All of the dplyr vector functions, like
between()
and case_when()
, are now powered by vctrs. We’ve also added two powerful new helpers: case_match()
and consecutive_id()
.
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2023/02/02
![](/blog/2023/02/dplyr-1-1-0-per-operation-grouping/thumbnail-sq.jpg)
Davis Vaughan
dplyr now supports an experimental per-operation grouping syntax. This serves as an alternative to
group_by()
and always returns an ungrouped data frame, meaning that you never need to remember to ungroup()
.
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2023/02/01
![](/blog/2023/01/dplyr-1-1-0-joins/thumbnail-sq.jpg)
Davis Vaughan
In dplyr 1.1.0, joins have been greatly reworked, including a new way to specify join columns, support for inequality, rolling, and overlap joins, and two new quality control arguments.
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2023/01/31
![](/blog/2022/11/dplyr-1-1-0-is-coming-soon/thumbnail-sq.jpg)
Davis Vaughan
dplyr 1.1.0 is coming soon! This post introduces some of the exciting new features coming in 1.1.0, and includes a call-for-feedback as we finalize the release.
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2022/11/28