Data Wrangling

Jul 4, 2021

gargle 1.2.0

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

Jenny Bryan

Apr 24, 2021

haven 2.4.0

This version provides much improved labelled_spss() support, improved date-time handling, the latest ReadStat, and a bunch of other small improvements

Mar 31, 2021

Comprehensive Date-Time Handling for R

Introducing, clock, a new package for working with date-times

Davis Vaughan

Data Wrangling Machine Learning

103

tidyposterior

Bayesian comparisons of models using resampled statistics

Mar 10, 2021

rvest 1.0.0

The latest version of rvest brings new tools for extracting text, a radically improved html_table(), and a bunch of interface changes to better align rvest with the rest of the tidyverse

dplyr backends: multidplyr 0.1.0, dtplyr 1.1.0, dbplyr 2.1.0

Feb 25, 2021

dplyr backends: multidplyr 0.1.0, dtplyr 1.1.0, dbplyr 2.1.0

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

Feb 2, 2021

dplyr 1.0.4: if_any() and if_all()

Minor release with major performance improvements for across() and two new functions if_any() and if_all()

Romain François

Daryn Ramsden, James Laird-Smith, Max Kuhn

Dec 9, 2020

corrr 0.4.3

A new version of corrr features noteworthy improvements

Data Wrangling Machine Learning Visualization

591

corrr

Explore correlations in R

Nov 23, 2020

magrittr 2.0 is here!

A new version of the magrittr package brings laziness, better performance, and leaner backtraces for debugging errors

Lionel Henry

Artificial Intelligence Data Wrangling Machine Learning

tfdatasets

R interface to TensorFlow Datasets API

Nov 4, 2020

dbplyr 2.0.0

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

Oct 19, 2020

furrr 0.2.0

furrr 0.2.0 is now on CRAN!

Davis Vaughan

Oct 6, 2020

readr 1.4.0

The newest release of readr brings improved argument consistency, better messages and more flexible output options

Jim Hester

Aug 26, 2020

magrittr 2.0 is coming soon

A new version of the magrittr package brings laziness, better performance, and leaner backtraces for debugging errors

Lionel Henry

Jul 17, 2020

broom 0.7.0

The newest release of broom features many new tidier methods, bug fixes, and improvements to internal consistency

Simon Couch, Alex Hayes

Jul 16, 2020

sparklyr 1.3: Higher-order Functions, Avro and Custom Serializers

Sparklyr 1.3 is now available, featuring integration of Spark higher-order functions, and data import/export in Avro and in user-defined serialization formats

Yitao Li

Artificial Intelligence Data Wrangling Machine Learning

145

embed

Extra recipes for predictor embeddings

Jun 1, 2020

haven 2.3.0

haven now uses vctrs which means labelled classes will be preserved in tidyr and dplyr operation

Jun 1, 2020

dplyr 1.0.0 available now!

dplyr 1.0.0 is now available from CRAN!

May 26, 2020

tidyr 1.1.0

tidyr 1.1.0 includes a bunch of quality of life improvements, particularly for pivoting and rectangling

sparklyr 1.2: Foreach, Spark 3.0 and Databricks Connect

May 6, 2020

sparklyr 1.2: Foreach, Spark 3.0 and Databricks Connect

sparklyr 1.2: foreach parallel backend, Databricks Connect support, and Spark 3.0 compatibility

Yitao Li

Hadley Wickham, Kirill Müller

May 6, 2020

dplyr 1.0.0: last minute additions

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

Apr 27, 2020

dplyr 1.0.0 and vctrs

dplyr now makes heavy use of vctrs behind the scenes. This brings with it greater consistency and (hopefully!) more useful error messages

Apr 10, 2020

dplyr 1.0.0: working within rows

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

Apr 3, 2020

dplyr 1.0.0: working across columns

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

Mar 27, 2020

dplyr 1.0.0: select, rename, relocate

select() and rename() can now select by position, name, function of name, type, and any combination thereof. A new relocate() function makes it easy to change the position of columns

Mar 20, 2020

dplyr 1.0.0: new summarise() features

In summarise(), a single summary expression can now create both multiple rows and multiple columns. This significantly increases its power and flexibility

Mar 9, 2020

dplyr 1.0.0 is coming soon

This post focusses on the idea of the “function lifecycle” which helps you understand where functions in dplyr are going. Particularly important is the idea of a “superseded” function. A superseded function is not going away, but we no longer recommend using it in new code