httr2 1.1.0 introduces powerful new streaming capabilities with req_perform_connection(), as well as comprehensive URL manipulation tools, improved AWS support, and a bunch of bug fixes
Google Spreadsheets R API (reboot of the googlesheets package)
Nanoparquet is a new R package that can read and write (flat) Parquet files. This post covers its features and limitations
Create a collection of modeling workflows
Highlights to the most recent updates to sparklyr and friends
dbplyr 2.5.0 brings improved syntax for referring to tables nested in schemas and catalogs along with a bunch of minor SQL generation improvements
Provide cross platform file operations based on libuv
This release fixes a bunch of annoyances and catches up with innovations in DBI and dbplyr
An interface to Google’s BigQuery from R
Run models inside a database using R
httr2 is the successor to httr, providing a pipeable interface to generate HTTP requests and handle the responses. It’s focussed on the needs of an R user wrapping a modern web API, but is flexible enough to handle just about any HTTP related task
httr: a friendly http package for R
dbplyr 2.4.0 brings improvements to SQL generation, better control over the generated SQL, some new translations, and a bunch of backend specific improvements
Code and content for “Tidy Modeling with R”
gmailr 2.0.0 streamlines the auth process and makes it easier to use gmailr in a cloud or deployed context
Access the Gmail RESTful API from R
Infrastructure for calling Google APIs from R, including auth
Authoring Books and Technical Documents with R Markdown
A modern re-imagining of the data frame
Generic programming with typed R vectors
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
Now including lubridate!
dtplyr brings initial support for dplyr 1.1.0 features, new translations, and a breaking change
Data table backend for dplyr
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()
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()
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()
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
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
tidyr 1.3.0 brings a new family of string separating functions, along with improvements to unnest_longer(), unnest_wider(), pivot_longer(), and nest()
dbplyr 2.3.0 brings improvements to SQL generation, improved error messages, a handful of new translations, and a bunch of backend specific improvements
purrr 1.0.0 brings a basket of updates. We deprecated a number of seldom used functions to hone in on the core purpose of purrr and implemented a swath of new features including progress bars, improved error reporting, and much much more!
It’s been a long three years but a new version of stringr is now on CRAN! This release includes a bunch of small but useful new functions and some increased consistency with the rest of the tidyverse
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
A backend for functions taking tidyverse selections
An R package for tidyverse-friendly statistical inference
tidyselect 1.2.0 hit CRAN last week and includes a few updates to the syntax of selections in tidyverse functions
Manage the life cycle of your exported functions and arguments
A Date-Time Library for R
High-Level Modeling Functions with ’torch'
Create and summarize spatial resampling objects
This release brings improvements to SQL translation, a new way of getting local data into the database, and support for dplyr’s family of row modification functions
haven 2.5.0 adds support for custom character widths, creates FDA-compliant XPT files, and can use Stata’s strL variable type
Extra recipes for Text Processing
readxl 1.4.0 is a maintenance release with practically no user-facing changes, but extensive change to package internals
tidyr 1.2.0 includes a bunch of new features and bug fixes, particularly for pivoting, rectangling, and grid specific tools
Pin, discover, and share resources
dtplyr 1.2.0 adds three new authors, a bunch of tidyr translations, new join translations, and many minor translation improvements
readr 2.1.0 is now on CRAN. This post explains the change for default reading to be eager rather than lazy
archive 1.1.2 is now on CRAN! archive lets you work with file archives, such as ZIP, tar, 7-Zip and RAR and compression formats like gzip, bzip2, XZ and Zstandard
R bindings to libarchive, supporting a large variety of archive formats
bigrquery 1.4.0 fixes a bug in bq_table_download()
Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package
Version 1.0.0 marks the graduation of googlesheets4 from experimental to stable
This major release of readr includes a new multi-threaded parsing engine powered by vroom and a number of user interface improvements
googledrive 2.0.0 adapts to Drive’s pivot from Team Drives to shared drives and its shift to a “single parent” model of file organization
Google Drive R API
gargle has seen a lot of development over the past two years and five releases: cache relocation, credential rolling, a new auth method, an improved user interface, better verbosity control, and retries
This version provides much improved labelled_spss() support, improved date-time handling, the latest ReadStat, and a bunch of other small improvements
Introducing, clock, a new package for working with date-times
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