Data Wrangling

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

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

Jan 29, 2020

sparklyr 1.1: Foundations, Books, Lakes and Barriers

sparklyr 1.1: Delta Lake support, Spark 3.0 preview, and barrier execution for deep learning

Mar 15, 2019

sparklyr 1.0: Apache Arrow, XGBoost, Broom and TFRecords

sparklyr 1.0: Apache Arrow for faster data transfers, XGBoost models, broom integration, and TFRecords

Oct 1, 2018

sparklyr 0.9: Streams and Kubernetes

sparklyr 0.9: Spark structured streams for real-time data processing and Kubernetes cluster support

May 14, 2018

sparklyr 0.8: Production pipelines and graphs

sparklyr 0.8: production ML pipelines with mleap export and graph analysis with graphframes

Kevin Kuo

Apr 19, 2018

Arrow and beyond: Collaborating on next generation tools for open source data science

RStudio partners with Ursa Labs to build a cross-language data science runtime powered by Apache Arrow

JJ Allaire

Aug 29, 2017

googledrive initial release

The first release of googledrive is now on CRAN. Operate on Google Drive files from R

Jenny Bryan

Jul 31, 2017

sparklyr 0.6: Distributed R and external sources

sparklyr 0.6: distributed R with spark_apply() and external data source connections

Jul 13, 2017

haven 1.1.0

haven 1.1.0: SAS transport files, cols_only for selective reading, and bug fixes

Jun 27, 2017

dbplyr 1.1.0

dbplyr 1.1.0: database backends now work directly with DBI connections and feature improved SQL translation

Jun 26, 2017

bigrquery 0.4.0

bigrquery 0.4.0: query Google BigQuery with DBI and dplyr backends, now with full datetime support

Jun 13, 2017

dplyr 0.7.0

dplyr 0.7.0: tidy evaluation for programming with dplyr, new datasets, and improved encoding support

Apr 19, 2017

readxl 1.0.0

readxl 1.0.0: target specific cells for reading Excel files plus new logical and list column types

Jenny Bryan

Apr 13, 2017

dplyr 0.6.0 coming soon!

dplyr 0.6.0 preview: database changes with dbplyr, CJK encoding support, and tidy evaluation

Apr 12, 2017

tidyverse updates

Tidyverse package updates: forcats 0.2.0, readr 1.1.0, stringr 1.2.0, and tibble 1.3.0

Jan 24, 2017

xml2 1.1.1

xml2 1.1.1 adds tools for creating and modifying XML, improved list conversion, and XML validation support

Jim Hester

Jan 24, 2017

sparklyr 0.5: Livy and dplyr improvements

sparklyr 0.5 extends dplyr with do() and n_distinct(), adds experimental Livy support for remote Spark connections

Oct 4, 2016

haven 1.0.0

haven 1.0.0 reads and writes SAS, SPSS, and Stata files with improved missing value and date/time support

Sep 30, 2016

ggplot2 2.2.0 coming soon!

Preview of ggplot2 2.2.0 with subtitles, captions, facet rewrites, theme improvements, and better stacking

Sep 27, 2016

sparklyr — R interface for Apache Spark

Introducing sparklyr: use dplyr syntax to manipulate Spark data and run distributed machine learning from R

RStudio Team

Sep 15, 2016

tidyverse 1.0.0

The tidyverse package installs and loads core tidyverse packages (ggplot2, dplyr, tidyr, readr, purrr, tibble) in one command

Sep 15, 2016

lubridate 1.6.0

lubridate 1.6.0 adds flexible period/duration parsing from strings and date rounding with unit multipliers

Aug 31, 2016

forcats 0.1.0

Introducing forcats: tools for working with factors including fct_recode(), fct_lump(), and fct_reorder()

Aug 29, 2016

tibble 1.2.0

tibble 1.2.0 adds add_column(), improves add_row() with position control, and renames frame_data() to tribble()

Aug 24, 2016

stringr 1.1.0

stringr 1.1.0 adds practice datasets (fruit, words, sentences), boundary() in more functions, and str_view() for regex

Aug 15, 2016

tidyr 0.6.0

tidyr 0.6.0 adds drop_na() to remove rows containing missing values in selected or all columns

Aug 5, 2016

readr 1.0.0

readr 1.0.0 improves column guessing with printed specs, adds better date/time parsers and low-level file readers

Jul 5, 2016

xml2 1.0.0

xml2 1.0.0 adds XML creation and modification, xml_find_first() for ragged data, and easier namespace handling

Jul 5, 2016

tibble 1.1

tibble 1.1 introduces tibble(), as_tibble(), and is_tibble() naming, plus safer column extraction with warnings

Jul 5, 2016

httr 1.2.0

httr 1.2.0 adds RETRY() for unreliable APIs with exponential backoff, and fixes POST redirect issues

Jun 27, 2016

dplyr 0.5.0

dplyr 0.5.0 adds coalesce(), if_else(), case_when(), recode(), and the summarise_all/at/if family of functions

Jun 13, 2016

tidyr 0.5.0

tidyr 0.5.0 adds separate_rows() for delimiter-separated values, plus sep arguments for spread() and unnest()

Mar 29, 2016

Feather: A Fast On-Disk Format for Data Frames for R and Python, powered by Apache Arrow

Introducing Feather: a fast binary file format for data frames that works in both R and Python, built on Apache Arrow

Mar 24, 2016

tibble 1.0.0

Introducing the tibble package: modern data frames with better printing, stricter subsetting, and no string-to-factor conversion

Mar 3, 2016

ggplot2 2.1.0

ggplot2 2.1.0 fixes bugs from 2.0.0 with better histogram binning, consistent argument ordering, and alpha behavior

Feb 2, 2016

tidyr 0.4.0

tidyr 0.4.0 introduces nested data frames with nest()/unnest() and complete() for making implicit missing values explicit

Feb 2, 2016

httr 1.1.0 (and 1.0.0)

httr 1.0.0 switches from RCurl to curl for reliability; 1.1.0 improves error messages and OAuth support

Jan 6, 2016

purrr 0.2.0

purrr 0.2.0 adds type-stable map functions (map_lgl/int/dbl/chr), flatten variants, and safely() for error handling

Oct 28, 2015

readr 0.2.0

readr 0.2.0 adds locales for international data (encodings, date formats, decimal marks), comment support, and CSV/TSV writers

Sep 29, 2015

purrr 0.1.0

Introducing purrr: functional programming tools for R with map functions, formula shortcuts for anonymous functions, and list manipulation

Sep 24, 2015

rvest 0.3.0

rvest 0.3.0 switches to xml2 for better performance and no memory leaks. html() becomes read_html(), html_tag() becomes html_name()

Sep 13, 2015

tidyr 0.3.0

tidyr 0.3.0 adds fill() for carrying forward values, replace_na(), complete() for missing combinations, and unnest() for list columns

Sep 4, 2015

dplyr 0.4.3

dplyr 0.4.3 fixes mutate() crashes, improves non-ASCII column support, shows column types when printing, and adds bind_rows(.id)

May 5, 2015

stringr 1.0.0

stringr 1.0.0 is now powered by stringi for faster performance and better unicode. Adds str_subset(), boundary(), and locale-aware sorting

Apr 21, 2015

Parse and process XML (and HTML) with xml2

xml2 wraps libxml2 for easy XML/HTML parsing in R: navigate trees, extract nodes with XPath, and handle namespaces