Now including lubridate! Read more ...
dtplyr brings initial support for dplyr 1.1.0 features, new translations, and a breaking change. Read more ...
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(). Read more ...
All of the dplyr vector functions, like
case_when(), are now powered by vctrs. We’ve also added two powerful new helpers:
consecutive_id(). Read more ...
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(). Read more ...
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. Read more ...
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. Read more ...
tidyr 1.3.0 brings a new family of string separating functions, along with improvements to
nest(). Read more ...
dbplyr 2.3.0 brings improvements to SQL generation, improved error messages, a handful of new translations, and a bunch of backend specific improvements. Read more ...
The tidymodels team has been busy working on all sorts of new features across the ecosystem. Read more ...