Package
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
Now including lubridate!
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2023/03/08
dtplyr brings initial support for dplyr 1.1.0 features, new translations, and a breaking change.
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2023/02/24
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
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
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
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
There are no major new features in this version of forcats, but the 1.0.0 label now clearly advertises that this a stable member of the tidyverse.
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2023/01/30
tidyr 1.3.0 brings a new family of string separating functions, along with improvements to
unnest_longer(), unnest_wider(), pivot_longer(), and nest().
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2023/01/24
dbplyr 2.3.0 brings improvements to SQL generation, improved error messages, a handful of new translations, and a bunch of backend specific improvements.
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2023/01/16