R

Artificial Intelligence Data Wrangling Interactive Apps Machine Learning

mirai

Minimalist Async Evaluation Framework for R

307

mori

Shared Memory for R Objects

Positron

Positron, a next-generation data science IDE

DBI

A database interface (DBI) definition for communication between R and RDBMSs

316

Artificial Intelligence Interactive Apps Ai

ellmer

Call LLM APIs from R

587

httr2

Make HTTP requests and process their responses. A modern reimagining of httr

261

Best Practices Interactive Apps MLOps and Admin

plumber2

Easy and Powerful Webservers in R

112

Quarto

Open-source scientific and technical publishing system built on Pandoc

5.3k

Best Practices Interactive Apps Publishing Visualization

Shiny

Easy interactive web applications with R

5.6k

testthat

An R to make testing

923

roxygen2

Generate R package documentation from inline R comments

634

tidymodels

Easily install and load the tidymodels packages

813

dials

Tools for creating tuning parameter values

116

parsnip

A tidy unified interface to models

648

tune

Tools for tidy parameter tuning

326

Data Wrangling Machine Learning Visualization

yardstick

Tidy methods for measuring model performance

399

dbplyr

Database (DBI) backend for dplyr

506

Data Wrangling Visualization Tidyverse

tidyverse

Easily install and load packages from the tidyverse

1.8k

devtools

Tools to make an R developer’s life easier

2.5k

dplyr

dplyr: A grammar of data manipulation

Data Wrangling Visualization Tidyverse

forcats

: tools for working with categorical variables (factors)

555

Visualization Tidyverse Data Visualization

ggplot2

An implementation of the Grammar of Graphics in R

6.9k

gt

Easily generate information-rich, publication-quality tables from R

2.1k

Publishing Visualization

lubridate

Make working with dates in R just that little bit easier

786

Best Practices Interactive Apps MLOps and Admin Visualization

plumber

Turn your R code into a web API

1.4k

purrr

A functional programming toolkit for R

1.4k

readr

Read flat files (csv, tsv, fwf) into R

recipes

Pipeable steps for feature engineering and data preprocessing to prepare for modeling

612

reticulate

R Interface to Python

1.7k

rmarkdown

Dynamic Documents for R

stringr

A fresh approach to string manipulation in R

658

tidyr

Tidy Messy Data

1.4k

usethis

Set up commonly used components

901

pkgdown

Generate static html documentation for an R package

767

air

R formatter and language server

393

Best Practices Data Wrangling Tidyverse

cli

Tools for making beautiful & useful command line interfaces

697

Artificial Intelligence Data Wrangling Publishing Ai

ragnar

RAG in R

169

rvest

Simple web scraping for R

1.5k

MLOps and Admin Tidyverse

magrittr

Improve the readability of R code with the pipe

967

Artificial Intelligence Interactive Apps Ai

btw

A complete toolkit for connecting R and LLMs

114

Artificial Intelligence Ai

mcptools

Model Context Protocol For R

161

Data Wrangling MLOps and Admin Machine Learning

tidypredict

Run predictions inside the database

263

promises

A promise library for R

210

config

config package for R

261

gh

Minimalistic GitHub API client in R

232

R6

Encapsulated object-oriented programming for R

423

renv

renv: Project environments for R

1.1k

duckplyr

A drop-in replacement for dplyr, powered by DuckDB for speed

379

Best Practices Data Wrangling Visualization Tidyverse

rlang

Low-level API for programming with R

559

scales

Tools for ggplot2 scales

445

rsample

Classes and functions to create and summarize resampling objects

340

Artificial Intelligence Interactive Apps MLOps and Admin Machine Learning

vetiver-r

Version, share, deploy, and monitor models

198

chromote

Chrome Remote Interface for R

178

workflows

Modeling Workflows

210

Interactive Apps MLOps and Admin Publishing

r-shinylive

225

googlesheets4

Google Spreadsheets R API (reboot of the googlesheets package)

372

Rapp

Build CLI applications in R

106

Best Practices Interactive Apps Machine Learning

shinytest2

121

Community Machine Learning

bonsai

parsnip wrappers for tree-based models

Artificial Intelligence Machine Learning

keras3

R Interface to Keras

855

censored

Parsnip wrappers for survival models

123

Best Practices Data Wrangling Machine Learning

workflowsets

Create a collection of modeling workflows

Best Practices Interactive Apps MLOps and Admin Publishing

rsconnect

Publish Shiny Applications, RMarkdown Documents, Jupyter Notebooks, Plumber APIs, and more

145

fs

Provide cross platform file operations based on libuv

382

Interactive Apps Publishing Visualization

thematic

Theme ggplot2, lattice, and base graphics based on a few simple settings

252

bigrquery

An interface to Google’s BigQuery from R

527

Best Practices Visualization

withr

Methods For Temporarily Modifying Global State

177

MLOps and Admin Publishing

blastula

Easily send great-looking HTML email messages from R

570

Interactive Apps Publishing Visualization

fontawesome

Easily insert FontAwesome icons into R Markdown docs and Shiny apps

298

log4r

A fast & lightweight approach to logging in R based on the widely-emulated Apache Log4j project

tensorflow

TensorFlow for R

1.3k

Artificial Intelligence

modeldb

Run models inside a database using R

httr

httr: a friendly http package for R

984

tidyclust

A tidy unified interface to clustering models

112

Community Interactive Apps Publishing

learnr

Interactive Tutorials with R Markdown

731

gargle

Infrastructure for calling Google APIs from R, including auth

114

gmailr

Access the Gmail RESTful API from R

237

Best Practices Interactive Apps Publishing

htmltools

Tools for HTML generation and output

221

Best Practices Machine Learning

finetune

Additional functions for model tuning

tibble

A modern re-imagining of the data frame

741

Best Practices MLOps and Admin Publishing

connectapi

An R package for interacting with the Posit Connect server API

dtplyr

Data table backend for dplyr

674

Community Publishing Visualization

blogdown

Create Blogs and Websites with R Markdown

1.8k

probably

Tools for post-processing class probability estimates

120

tidyselect

A backend for functions taking tidyverse selections

128

callr

Call R from R

303

MLOps and Admin Publishing

hugodown

Make websites with hugo and RMarkdown

163

Community Data Wrangling Machine Learning Visualization

infer

An R package for tidyverse-friendly statistical inference

782

webshot2

Take screenshots of web pages from R

123

lifecycle

Manage the life cycle of your exported functions and arguments

clock

A Date-Time Library for R

110

downlit

Syntax Highlighting and Automatic Linking

Artificial Intelligence Data Wrangling Machine Learning

brulee

High-Level Modeling Functions with ’torch'

bundle

Prepare objects for serialization with a consistent interface

lintr

Static Code Analysis for R

1.3k

waldo

Find differences between R objects

301

Data Wrangling Machine Learning Visualization

spatialsample

Create and summarize spatial resampling objects

Best Practices Interactive Apps MLOps and Admin Publishing

plumbertableau

R package for creating Plumber APIs that function as Tableau Analytics Extensions

Best Practices Data Wrangling Machine Learning

textrecipes

Extra recipes for Text Processing

164

multilevelmod

Parsnip wrappers for mixed-level and hierarchical models

bookdown.org

Source documents to generate the bookdown.org website

Community Publishing

pagedown

Paginate the HTML Output of R Markdown with CSS for Print

918

Interactive Apps Visualization

cranwhales

Interactive Apps Machine Learning Visualization

shinymodels

Data Wrangling MLOps and Admin Publishing

pins-r

Pin, discover, and share resources

333

discrim

Wrappers for discriminant analysis and naive Bayes models for use with the parsnip package

Best Practices Machine Learning

hardhat

Construct Modeling Packages

108

googledrive

Google Drive R API

340

MLOps and Admin Machine Learning

butcher

Reduce the size of model objects saved to disk

137

Best Practices Publishing Visualization Tidyverse

reprex

Render bits of R code for sharing, e.g., on GitHub or StackOverflow

749

tidyposterior

Bayesian comparisons of models using resampled statistics

102

Best Practices Interactive Apps Publishing

shinymeta

Record and expose Shiny app logic using metaprogramming

226

Best Practices Community Interactive Apps

gradethis

Tools for teachers to use with learnr

164

shinythemes

Themes for Shiny

159

Data Wrangling Machine Learning Visualization

corrr

Explore correlations in R

590

stacks

An R package for tidy stacked ensemble modeling

302

Artificial Intelligence Data Wrangling Machine Learning

tfdatasets

R interface to TensorFlow Datasets API

Artificial Intelligence Data Wrangling Machine Learning

embed

Extra recipes for predictor embeddings

144

rules

parsnip extension for rule-based models

glue

Glue strings to data in R. Small, fast, dependency free interpreted string literals

745

themis

Extra recipes steps for dealing with unbalanced data

142

slider

Sliding Window Functions

312

Community Interactive Apps Machine Learning Publishing

sortable

R htmlwidget for Sortable.js

135

styler

Non-invasive pretty printing of R code

773

ymlthis

write YAML for R Markdown, bookdown, blogdown, and more

168

covr

Test coverage reports for R

345

Artificial Intelligence Machine Learning

tfprobability

R interface to TensorFlow Probability

itdepends

133

generics

Common generic methods

tinytex

A lightweight, cross-platform, portable, and easy-to-maintain LaTeX distribution based on TeX Live

1.1k

processx

Execute and Control Subprocesses from R

243

Data Wrangling Machine Learning Visualization Tidyverse

broom

Convert statistical analysis objects from R into tidy format

1.5k

MLOps and Admin Visualization

bench

High Precision Timing of R Expressions

255

conflicted

An alternative conflict resolution strategy for R

253

Best Practices Data Wrangling Tidyverse

pillar

Format columns with colour

182

Artificial Intelligence MLOps and Admin Machine Learning

tfestimators

R interface to TensorFlow Estimators

Artificial Intelligence MLOps and Admin Machine Learning

cloudml

R interface to Google Cloud Machine Learning Engine

xml2

Bindings to libxml2

223

memoise

Easy memoisation for R

321

RSQLite

R interface for SQLite

335

progress

Progress bar in your R terminal

474

packrat

Packrat is a dependency management system for R

407

markdown

The first generation of Markdown rendering for R (born in 2012), based on commonmark. Note that this package is markdown, not rmarkdown

addinexamples

An R package showcasing how RStudio addins can be registered and used

applicable

Quantify extrapolation of new samples given a training set

Ark

Ark, an R kernel

295

Interactive Apps

asciicast

Turn R scripts into terminal screencasts

243

askpass

Password Entry for R, Git, and SSH

available

Check if a package name is available to use

144

backports

Reimplementations of Functions Introduced Since R-3.0.0

Best Practices Interactive Apps Publishing Visualization

beyond-dashboard-fatigue

Materials for the RStudio webinar ‘Beyond Dashboard Fatigue’

Community Data Wrangling MLOps and Admin

bigdataclass

Two-day workshop that covers how to use R to interact databases and Spark

115

bit64

An R package with an S3 Class for Vectors of 64bit Integers

blob

A simple S3 class for representing BLOBs

brio

Basic R Input Output

cachem

Key-value caches for R

carrier

Create standalone functions for remote execution

cliapp

Rich Command Line Applications

clisymbols

Unicode symbols for CLI applications, with fallbacks

connections

https://rstudio.github.io/connections/

coro

Coroutines for R

181

crayon

️ R package for colored terminal output — now superseded by cli

323

credentials

Tools for Managing SSH and Git Credentials

dbi3

DBI revisited

debugme

Easy and efficient debugging for R packages

153

desc

Manipulate DESCRIPTION files

124

design

Tidyverse design principles

227

Community Interactive Apps

dsbox

Companion R package to Data Science Course in a Box

ellipsis

Tools for Working with..

140

evaluate

A version of eval for R that returns more information about what happened

139

filelock

Cross platform file locking in R

funs

Collection of low-level functions for working with vctrs

gert

Simple git client for R

157

Artificial Intelligence Visualization

ggbot2

graphframes

R Interface for GraphFrames

gtable

The layout packages that powers ggplot2

here

A simpler way to find your files

430

Artificial Intelligence Community Data Wrangling Interactive Apps

hex-stickers

RStudio hex stickers

509

hms

A simple class for storing time-of-day values

142

Intro

Course materials for “Introduction to Data Science with R”, a video course by RStudio and O’Reilly Media

237

Best Practices Community

jose

Javascript Object Signing and Encryption for R

Artificial Intelligence Interactive Apps Machine Learning

keras-customer-churn

Customer Churn Shiny Application

Best Practices Visualization

leaflet.mapboxgl

Extends the R Leaflet package with a Mapbox GL JS plugin to allow easy drawing of vector tile layers

Community Interactive Apps Machine Learning

learntidymodels

Learn tidymodels with interactive learnr primers

Interactive Apps Machine Learning Visualization

lime

Local Interpretable Model-Agnostic Explanations (R port of original Python package)

492

liteq

Serverless R message queue using SQLite

miniUI

108

mockery

A mocking library for R

104

Community Data Wrangling Machine Learning Tidyverse

modelr

Helper functions for modelling

399

multidplyr

A dplyr backend that partitions a data frame over multiple processes

649

nycflights13

An R data package containing all out-bound flights from NYC in 2013 + useful metdata

132

Community Data Wrangling

Best Practices Visualization

pkgapi

Create a map of functions for an R package - WORK IN PROGRESS!

pkgbuild

Find tools needed to build R packages

pkgconfig

Private configuration for R packages

pkgload

Simulate installing and loading a package

pool

Object Pooling in R

255

prettycode

Syntax highlight R code in the terminal

108

r-manuals

A re-styled version of the R manuals

R-Websockets

HTML 5 Websockets implementation for R

Interactive Apps Publishing Visualization

r2d3

R Interface to D3 Visualizations

524

rappdirs

Find OS-specific directories to store data, caches, and logs. A port of python’s AppDirs

rcmdcheck

Run R CMD check from R and collect the results

122

rematch2

Tidy output from regular expression matches

remotes

Install R packages from GitHub, GitLab, Bitbucket, git, svn repositories, URLs

356

revdepcheck

R package reverse dependency checking

103

rex

Friendly regular expressions for R

335

RMariaDB

An R interface to MariaDB

137

roxygen2md

Convert elements of roxygen documentation to markdown

RPostgres

A DBI-compliant interface to PostgreSQL

337

rprojroot

Finding files in project subdirectories

149

rray

Simple Arrays

128

Best Practices Community Data Wrangling Machine Learning Visualization

RStartHere

A guide to some of the most useful R Packages that we know about

663

Community Data Wrangling Interactive Apps Machine Learning Publishing

rstudio-conf-2022-program

rstudio::conf(2022, “program”)

rstudioapi

Safely access RStudio’s API (when available)

174

Best Practices Tidyverse

sessioninfo

Print Session Information

Interactive Apps MLOps and Admin

shinyapps-package-dependencies

Collection of bash scripts that install R package system dependencies

Artificial Intelligence Best Practices Interactive Apps Publishing

skills

A collection of Claude Skills from Posit

196

sloop

S language OOP ️

103

sodium

R bindings to libsodium

sparkapi

Sparklyr Extensions API

sparkxgb

R interface for XGBoost on Spark

Best Practices Community Data Wrangling

tidy-dev-day

Tidyverse developer day

tidyversedashboard

Tidyverse activity dashboard

tree-sitter-r

Tree-sitter grammar for R

129

tufte

Tufte Styles for R Markdown Documents

427

urlchecker

Run CRAN URL checks from older versions of R

usemodels

Boilerplate Code for tidymodels

webdriver

WebDriver client in R

zeallot

Variable assignment with zeal! (or multiple, unpacking, and destructuring assignment in R)

272

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R Blog Posts#

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A memory model for production async R: mirai 2.7.0 and mori 0.2.0

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Quarto 2: Parsing and Source Maps

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April Release Highlights

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What’s next: Quarto 2

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tabpfn 0.1.0

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Mar 20, 2026

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orbital 0.5.0

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PDF Accessibility and Standards

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Gordon Woodhull

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Outgrowing your laptop with R and Positron

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Mar 5, 2026

Rapp 0.3.0

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mirai 2.6.0

mirai 2.6.0 brings an HTTP launcher for cloud and Posit Workbench, a C-level dispatcher for near-zero overhead task dispatch, and new tools for racing and debugging async tasks

Feb 12, 2026

`dplyr::if_else()` and `dplyr::case_when()` are up to 30x faster

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nanonext 1.8.0

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dplyr 1.2.0

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ragnar 0.3.0

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plumber2 0.2.0

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yaml12: YAML 1.2 for R and Python

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tidymodels & xgboost

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tidypredict 1.0.0

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Shiny talks and workshops at posit::conf(2025)

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A curated playlist and overview of all Shiny-focused sessions from posit::conf(2025), along with workshop materials and links

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posit::conf(2025) Quarto talks

Videos of talks from posit::conf(2025) are posted, and you can find them all here!

Nov 24, 2025

Two New tidymodels Packages

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promises v1.5.0

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pkgdown 2.2.0

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Quarto workshop materials @ posit::conf(2025)

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plumber2 0.1.0

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Sep 23, 2025

Build Your First LLM App with Shiny for Python or R

In the third and final part of The Shiny Side of LLMs, we’ll bring everything together in a polished Shiny app. From covering async, optimizing conversations, to handling loading and errors smoothly. Both Python and R!

Sep 15, 2025

Shiny at posit::conf(2025)

Find Shiny talks and workshops at posit::conf(2025) in Atlanta

Shiny Team

Sep 12, 2025

ggplot2 4.0.0

A new major version of ggplot2 has been released on CRAN. Find out what is new here

Sep 11, 2025

Talking to LLMs: From Prompt to Response

In this second part of The Shiny Side of LLMs we get into the fun of actually talking to an LLM. From crafting prompts that get the responses you want, to turning messy outputs into something useful, giving models extra powers with tools, and figuring out what all the chatter really costs

Sep 5, 2025

mirai 2.5.0

mirai - minimalist async evaluation framework for R - brings production-grade parallel and distributed computing to the ecosystem

Sep 5, 2025

nanonext 1.7.0

nanonext is a communications and concurrency toolbox that facilitates fast, powerful and reliable data exchange in polyglot data science workflows

Sep 2, 2025

ragnar 0.2

ragnar 0.2 introduces a tidy, transparent toolkit for building Retrieval-Augmented Generation (RAG) pipelines in R

Aug 20, 2025

mall 0.2.0

The mall 0.2.0 update for R and Python introduces support for external LLM providers like OpenAI and Gemini. This version also features parallel processing for R users, the ability to run NLP on string vectors in Python, and a brand new cheatsheet

Aug 19, 2025

What LLMs Actually Do (and What They Don’t)

Welcome to The Shiny Side of LLMs: a blog series explaining large language models in plain English, without the fancy and difficult buzzwords. In this first part: what LLMs are, how they work, what they’re good at, and why they don’t magically solve all your problems

Jul 31, 2025

quarto R package v1.5.0: Streamlined Workflows for R Users

The quarto R package 1.5.0 brings powerful new features for passing R values to Quarto metadata, inserting Markdown in HTML tables, working with R scripts, building paths from Quarto projects, and automating Quarto CLI from R

Christophe Dervieux

Jul 28, 2025

ellmer 0.3.0

The newest version of ellmer introduces a simpler chat() interface that can works with any provider, a bunch of improvements to tool calling, and a handful of smaller quality of life improvements

Jul 25, 2025

Tidyverse developer day 2025

Join us in Atlanta for tidyverse developer day on September 19, 2025!

Jul 21, 2025

R and the Model Context Protocol

The newly released mcptools package makes coding assistants better at writing R code and applications built with ellmer more powerful

Jul 21, 2025

httr2 1.2.0

httr2 1.2.0 improves security for redacted headers, improves URL parsing and building, enhances debugging, and includes a bunch of other quality of life improvements

Jul 14, 2025

webR 0.5.4

webR 0.5.4 brings the latest version of R to the browser, with sharing URLs, an upgraded Emscripten runtime, and filesystem support for JupyterLite

Jul 11, 2025

Charlie Gao, Hadley Wickham, Davis Vaughan, Lionel Henry

Parallel processing in purrr 1.1.0

The functional programming toolkit for R gains new capabilities for parallel processing and distributed computing using mirai

Jul 10, 2025

Introducing vitals, a toolkit for evaluating LLM products in R

Introducing vitals, a toolkit for evaluating LLM products in R

The first release of vitals, a package for large language model evaluation in R, just made it to CRAN

Jun 27, 2025

Kirill Müller, Maëlle Salmon

duckplyr fully joins the tidyverse!

duckplyr 1.1.0 is on CRAN! A drop-in replacement for dplyr, powered by DuckDB for speed. It is the most dplyr-like of dplyr backends

Jun 19, 2025

Davis Vaughan, Lionel Henry

Air 0.7.0

Read all about Air 0.7.0, including: even better Positron support, a new feature we call autobracing, and an official GitHub Action!

Jun 11, 2025

ellmer 0.2.0

ellmer 0.2.0 lands with a swag of upgrades: Garrick Aden‑Buie joins the team, we make a couple of breaking changes, and add serious scale with parallel_chat() and batch_chat(). A new params() helper standardises model settings across providers and chats now report how much they cost. The release also tidies chat_* names, bumps default models and adds Hugging Face, Mistral AI, and Portkey connectors

May 28, 2025

Quarto icon and text above GitHub Codespaces.

How to use GitHub Codespaces to simplify your Quarto workshops

In this post, I’ll teach you the basics of GitHub Codespaces and how to use them to make it easier to teach using Quarto

Mickaël CANOUIL, _Ph.D._

May 19, 2025

Fonts in R

Taking control of fonts and text rendering in R can be challenging. This deep-dive teaches you everything (and then some) you need to know to keep your sanity

May 12, 2025

svglite 2.2.0

A new release of svglite has arrived, and with it full support for all the latest capabilities of the R Graphics Engine. Further, it finalizes the new approach to handling web fonts and font embedding in the created SVGs

May 7, 2025

recipes 1.3.0

This release brings changes for strings_as_factors, step_select(), step_dummy(), and step_impute_bag()

Apr 28, 2025

Quarto 1.7

Quarto 1.7 brings big improvements to dark mode along with updates to Typst, Pandoc, a new version shortcode, and improvements to the julia engine

Apr 28, 2025

scales 1.4.0

The new 1.4.0 release of the scales package adds some colourful updates. Read about colour manipulation, palettes and new label functions

Apr 23, 2025

Learning the tidyverse with the help of AI tools

Learning the tidyverse with the help of AI tools

Tips and recommendations for learning the tidyverse with AI tools

Apr 4, 2025

rsample 1.3.0

This release brings more flexibilty to the grouping of bootstrap confidence intervals. It also contains many contributions from the tidyverse developer day

Apr 3, 2025

chromote v0.5.0

With the latest chromote release, you can stay up to date with Chrome or pin your scripts to a specific version of Chrome easily

Garrick Aden-Buie

Mar 21, 2025

Improved sparsity support in tidymodels

The tidymodels ecosystem now fully supports sparse data as input, output, and in creation

Mar 19, 2025

Q1 2025 tidymodels digest

A summary of the goings on for the tidymodels group in later 2024 and early 2025

Feb 27, 2025

Davis Vaughan, Lionel Henry

Air, an extremely fast R formatter

We are thrilled to announce Air, a new R formatter

Feb 21, 2025

bslib v0.9.0 brings branded theming to Shiny for R

Unified theming is here for R users!

Garrick Aden-Buie

Jan 31, 2025

Three experiments in LLM code assist with RStudio and Positron

Three experiments in LLM code assist with RStudio and Positron

We’ve been experimenting with LLM-powered tools to streamline R data science and package development

Jan 29, 2025

nanoparquet 0.4.0

nanoparquet 0.4.0 comes with a new and much faster read_parquet(), configurable type mappings in write_parquet(), and a new append_parquet()

Jan 28, 2025

httr2 1.1.0

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

Jan 20, 2025

Updates to Text Rendering in R Graphics

There has been a recent flurry of updates to packages involved in rendering text from R. This blog post will go through what this means for you as a user and developer

Jan 17, 2025

Tip - use Positron to choose colors for your project brand

Use Positron’s integrated color picker for an easy way to choose colors for your next project’s _brand.yml

Carlos Scheidegger

Jan 15, 2025

orbital 0.3.0

orbital 0.3.0 is on CRAN! orbital now has classification support

Jan 13, 2025

Joining the ggplot2 team

I joined the ggplot2 team and would like to share the experience

Jan 9, 2025

tidymodels Internship for 2025

The tidymodels team is sponsoring a summer internship in 2025

Jan 8, 2025

Use meta + include to customize reusable content

The “Includes” feature in Quarto lets you efficiently reuse content across multiple files. Combined with the “meta” shortcode, it enables you to set precise, file-specific values

Ashley Henry

Dec 12, 2024

Charlotte Wickham, Mine Çetinkaya-Rundel

Quarto website video series

Build a personal website with Quarto by following this four-part video series on YouTube

Dec 4, 2024

Quarto 1.6

Quarto 1.6 supports unified branding across formats, updates to RevealJS, a new shortcode to reorder content, a landscape page block, and more. There are also a couple of breaking changes that will affect a small number of users

Nov 25, 2024

Charlotte Wickham, Mine Çetinkaya-Rundel

Build a dashboard workshop with Quarto, R and/or Python.

Quarto dashboards video series

Learn how to build a Quarto dashboard with a three-part video series

Nov 22, 2024

Collage of speakers with Shiny talks at posit::conf(2024)

posit::conf(2024) Shiny talks

There were many great talks given at posit::conf(2024) about Shiny and they are now available on YouTube

Nov 11, 2024

Tomasz Kalinowski, Hadley Wickham

S7 0.2.0

S7 is a new package that simplifies object-oriented programming (OOP) in R. It combines the simplicity of S3 with the structure of S4 to create a clearer system that’s accessible to everyone

Nov 7, 2024

Mine Çetinkaya-Rundel, Charlotte Wickham

Collage of speakers with Quarto talks at posit::conf(2024)

posit::conf(2024) Quarto talks

Videos of talks from posit::conf(2024) are posted, we’ve compiled a playlist of Quarto talks for you!

Nov 6, 2024

Introducing mall for R…and Python

We are proud to introduce the {mall} package. With {mall}, you can use a local LLM to run NLP operations across a data frame. (sentiment, summarization, translation, etc). {mall} has been simultaneously released to CRAN and PyPi (as an extension to Polars)

Oct 30, 2024

WebAssembly roundup part 3: Quarto Live 0.1.1

WebAssembly roundup part 3: Quarto Live 0.1.1

Quarto Live is a new Quarto extension that uses WebAssembly to bring interactive examples and dynamic code exercises to documents. Create highly engaging interactive elements for readers using standard Quarto markdown syntax

Oct 15, 2024

Mine Çetinkaya-Rundel, Charlotte Wickham

posit::conf(2024) Quarto workshop materials

Back in August, we hosted three Quarto workshops at posit::conf(2024); the materials from those workshops are available to learn and teach from!

Oct 15, 2024

WebAssembly roundup part 2: Shinylive 0.8.0

WebAssembly roundup part 2: Shinylive 0.8.0

Shinylive deploys Shiny apps that run completely in the browser. Shinylive 0.8.0 has now been released, with a bunch of bug-fixes, changes to better support multiple apps in a Quarto project, and a new system for including package binaries as part of a fully self-contained bundle

Oct 14, 2024

WebAssembly roundup part 1: webR 0.4.2

First in a series of blog posts about what’s new in R for WebAssembly. The latest release of webR 0.4.2 is now available, with updates to the viewer mechanism, support for displaying htmlwidgets, an IndexedDB virtual filesystem driver, and improved packaging for WebAssembly R binaries

Oct 11, 2024

an image with lines representing ai computing lie behind a chatbox icon

Shiny Assistant

Prototype and build Shiny applications with the help of AI

Oct 9, 2024

Simon Couch, Hannah Frick, Max Kuhn

Postprocessing is coming to tidymodels

The tidymodels team has been hard at work on postprocessing, a set of features to adjust model predictions. The functionality includes a new package as well as changes across the framework

Oct 8, 2024

patchwork 1.3.0

patchwork 1.3.0 has just been released bringing refinements to the free() function and full on support for gt tables

Sep 13, 2024

Quarto 1.5

Quarto 1.5 improves Typst support, has some website enhancements like draft handling and announcement bars, adds a native Julia engine, and adds a couple of shortcodes for generating placeholder content

Jul 11, 2024

recipes 1.1.0

recipes 1.1.0 is on CRAN! recipes now have better input checking and quality of life errors

Jul 8, 2024

pkgdown 2.1.0

pkgdown 2.1.0 includes two major new features: support for quarto vignettes and a “light switch” that lets the reader switch between light and dark mode. It also contains a bunch of other improvements to both the user and the developer experience

Jul 8, 2024

Beautiful Tables in Typst

You can use HTML Tables with CSS styling in Typst via Quarto

Gordon Woodhull

Jul 2, 2024

bonsai 0.3.0

A new release of the parsnip extension package bonsai introduces support for oblique random forests for classification and regression to tidymodels

Jun 25, 2024

nanoparquet 0.3.0

Nanoparquet is a new R package that can read and write (flat) Parquet files. This post covers its features and limitations

Jun 20, 2024

marquee 0.1.0

The initial release brings markdown awareness to grid and ggplot2 to allow for rich text formatting in R graphics

May 29, 2024

Isabella Velásquez, Mine Çetinkaya-Rundel

posit::conf(2024) iconography including Seattle skyline on the left and the words 'Quarto workshops' on the right.

Quarto workshops at posit::conf(2024)

On August 12, we’re hosting a day of workshops featuring three dedicated to Quarto at posit::conf(2024) in Seattle

May 28, 2024

Reintroducing the Shiny Extension for VS Code

Reintroducing the Shiny Extension for VS Code

The v1.0.0 release of the Shiny extension for VS Code now supports running both Shiny for Python and Shiny for R apps, as well as new ShinyLive features

Garrick Aden-Buie

May 22, 2024

Introducing Keras 3 for R

We are thrilled to introduce {keras3}, the next version of the Keras R package. {keras3} is a ground-up rebuild of {keras}, maintaining the beloved features of the original while refining and simplifying the API based on valuable insights gathered over the past few years

May 21, 2024

Q1 2024 tidymodels digest

The tidymodels team has been busy working on all sorts of new features across the framework

Apr 24, 2024

News from the sparkly-verse

Highlights to the most recent updates to sparklyr and friends

Apr 22, 2024

tune 1.2.0

While we’ve written about survival analysis and machine learning fairness already, the newest tune release includes a number of other major changes

Apr 18, 2024

Tidyverse developer day 2024

Join the tidyverse team in Seattle on August 15 for a day of fun and programming to improve the tidyverse!

Apr 9, 2024

dbplyr 2.5.0

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

Apr 8, 2024

Chat with AI in RStudio

Interact with Github Copilot and OpenAI’s GPT (ChatGPT) models directly in RStudio. The chattr Shiny add-in makes it easy for you to interact with these and other Large Language Models (LLMs)

Apr 4, 2024

Survival analysis for time-to-event data with tidymodels

Survival analysis for time-to-event data with tidymodels

Recent releases integrate survival analysis into tidymodels. This now unlocks the framework for censored regression and provides modeling capabilities for time-to-event data

Apr 3, 2024

webR 0.3.1

webR 0.3.1 is now available at npm, GitHub, and via CDN. Take a look at what’s new in this release

Apr 2, 2024

From multiple Quarto documents and scripts in R and python to PDF or Word output.

Quarto for Reproducible Medical Manuscripts

R/Medicine webinar on Quarto manuscripts

Apr 1, 2024

Shiny for R updates: Extended tasks, JavaScript errors, and many bslib improvements

Shiny for R updates: Extended tasks, JavaScript errors, and many bslib improvements

An overview of recent Shiny for R updates, including extended tasks, JavaScript errors, and many bslib improvements

Carson Sievert

Mar 27, 2024

Quarto on Hugging Face

You can now host Quarto sites on Hugging Face using the new Quarto Space template

Gordon Shotwell

Mar 26, 2024

Fair machine learning with tidymodels

Recent tidymodels releases integrated a set of tools for assessing whether machine learning models treat groups of people differently

Mar 21, 2024

ggplot2 3.5.0: Introducing: coord_radial()

ggplot2 3.5.0: Introducing: coord_radial()

Introducing a new polar coordinate system that supersedes the old coord_polar(). Read on about the new coord_radial()

Mar 1, 2024

Take the tidymodels survey for 2024 priorities

Take the tidymodels survey for 2024 priorities

We are conducting our third tidymodels priorities survey. Please give us your feedback!

Feb 28, 2024

ggplot2 3.5.0: Axes

The 3.5.0 version of ggplot2 comes with an overhaul of the guide system. Read here what is new for axes

Feb 28, 2024

ggplot2 3.5.0: Legends

The 3.5.0 version of ggplot2 comes with an overhaul of the guide system. Read here what is new for legends

Feb 26, 2024

ggplot2 3.5.0

ggplot2 3.5.0 is now on CRAN. Discover what is new in this release

Feb 23, 2024

Quarto 1.4

Quarto 1.4 brings new formats for dashboards and Typst, a new manuscript project type, a cross-reference overhaul, Shiny for Python support, and a ton of other updates

Jan 24, 2024

bigrquery 1.5.0

This release fixes a bunch of annoyances and catches up with innovations in DBI and dbplyr

Jan 22, 2024

withr 3.0.0

withr is the tidyverse solution for automatically cleaning up after yourselves (temporary files, options, etc). This milestone makes withr much faster

Jan 18, 2024

roxygen2 7.3.0

This release automatically warns if you forget to export an S3 method, regenerates the NAMESPACE before documenting the rest of the package, and does a better job generating aliases for the package documentation topic

Jan 11, 2024

Q4 2023 tidymodels digest

The tidymodels team has been busy working on all sorts of new features across the ecosystem

Jan 9, 2024

Quarto Dashboards Demonstration

Video demo of Quarto v1.4’s new dashboard feature with Charles Teague

Dec 7, 2023

Screenshots of homepages of six courses titled From R Markdown to Quarto

ASA Traveling Courses on Quarto

Series of workshops for learning Quarto with R and RStudio, aimed primarily at R Markdown users

Dec 5, 2023

Carson Sievert, Garrick Aden-Buie

Shiny for R updates: new default look, dark mode, shinylive updates, and more

Shiny for R updates: new default look, dark mode, shinylive updates, and more

An overview of recent Shiny for R updates, a new default look, dark mode, shinylive updates, and more

Nov 30, 2023

scales 1.3.0

scales 1.3.0 is a minor release focusing on streamlining the API and gradual improvements of the existing utilities

Nov 27, 2023

httr2 1.0.0

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

Nov 14, 2023

Three ways errors are about to get better in tidymodels

Three ways errors are about to get better in tidymodels

The tidymodels team’s biannual spring cleaning gave us a chance to revisit the way we raise some error messages

Nov 10, 2023

Code next to the ShinyUIEditor that generated it

ShinyUiEditor: Out of Alpha

We’re excited to announce that ShinyUiEditor, a drag-and-drop interface for building Shiny apps, is officially out of its “alpha” stage

Oct 30, 2023

dbplyr 2.4.0

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

Oct 26, 2023

testthat 3.2.0

Catch up on the last two years of testthat development which includes improved documentation, new expectations, a new style for error snapshots, support for mocking, a new way to detect if a test has changed global state, and a handful of UI improvements

Oct 8, 2023

Q3 2023 tidymodels digest

The tidymodels team has been busy working on all sorts of new features across the ecosystem

Oct 5, 2023

pak 0.6.0

pak installs R packages from various sources. pak is fast, safe and convenient. This post shows the improvements in system requirements support on Linux, in the just released pak 0.6.0 version

Sep 5, 2023

New interface to validation splits

The latest releases of rsample and tune provide a new interface to validation sets as a three-way split

Aug 25, 2023

webR 0.2.0 has been released

webR 0.2.0 has been released. Updates and improvements to the webR REPL app, HTML canvas graphics device, internationalisation, Wasm R packages, Shiny support, and the developer API

Aug 16, 2023

Carson Sievert, Garrick Aden-Buie

Shiny for R updates: tooltips, popovers, a new theme, and more

Shiny for R updates: tooltips, popovers, a new theme, and more

An overview of recent Shiny for R updates, including tooltips, popovers, a new theme, and more

Aug 16, 2023

Teaching the tidyverse in 2023

Recommendations for teaching the tidyverse in 2023, summarizing package updates most relevant for teaching data science with the tidyverse, particularly to new learners

Aug 7, 2023

Jabir Ghaffar, Davon Person, Mine Çetinkaya-Rundel, Tracy Teal

Solutions for R4DS, 2e with Data Trail

Jabir and Davon from Data Trail worked with us to create the solutions manual for R for Data Science, 2nd edition. This blog post summarizes their experience and shares their reflections from working on this project

Aug 2, 2023

Q2 2023 tidymodels digest

The tidymodels team has been busy working on all sorts of new features across the ecosystem

Jul 19, 2023

Hugging Face Integrations

Hugging Face rapidly became a very popular platform to build, share and collaborate on deep learning applications. We have worked on integrating the torch for R ecosystem with Hugging Face tools, allowing users to load and execute language models from their platform

Jul 12, 2023

R for Data Science, 2nd edition

The second edition of R for Data Science is out, and it’s a major reworking of the first edition

Jul 11, 2023

gmailr 2.0.0

gmailr 2.0.0 streamlines the auth process and makes it easier to use gmailr in a cloud or deployed context

Jun 29, 2023

Understanding LoRA with a minimal example

Understanding LoRA with a minimal example

LoRA (Low Rank Adaptation) is a new technique for fine-tuning deep learning models that works by reducing the number of trainable parameters and enables efficient task switching. In this blog post we will talk about the key ideas behind LoRA in a very minimal torch example

Jun 22, 2023

GPT-2 from scratch with torch

Implementing a language model from scratch is, arguably, the best way to develop an accurate idea of how its engine works. Here, we use torch to code GPT-2, the immediate successor to the original GPT. In the end, you’ll dispose of an R-native model that can make direct use of Hugging Face’s pre-trained GPT-2 model weights

Jun 20, 2023

safetensors 0.1.0

Announcing safetensors, a new R package allowing for reading and writing files in the safetensors format

Jun 15, 2023

Towards easy, delightful, and customizable dashboards in Shiny for R with {bslib}

Towards easy, delightful, and customizable dashboards in Shiny for R with {bslib}

The {bslib} R package nows makes it very easy to make delightful and customizable dashboard in Shiny for R. This post walks through a Shiny app which quickly illustrates what’s possible with these components

Carson Sievert

Jun 7, 2023

torch 0.11.0

torch v0.11.0 is now on CRAN. This release features much-enhanced support for executing JIT operations. We also amended loading of model parameters, and added a few quality-of-life improvements, like support for temporarily modifying the default torch device, support for specifying data types as strings, and many more

Jun 7, 2023

Package spring cleaning

When Spring comes around, it’s time to embark on some Spring Cleaning to take care of the package maintenance tasks that you never seem to get around to. This post outlines the processes and tools that the tidyverse team uses to make this job fun and efficient

Andy Teucher

Jun 7, 2023

purrr::walk() this way

How to use purrr::walk() to write many files, featuring file-system navigation with the fs package

May 26, 2023

LLaMA in R with Keras and TensorFlow

Implementation and walk-through of LLaMA, a Large Language Model, in R, with TensorFlow and Keras

May 25, 2023

Quarto for Academics

A video highlighting some of Quarto’s features that are especially useful for academics, as educators and as researchers

May 22, 2023

desirability2

The desirability2 package, for multivariable optimization, is now on CRAN

May 17, 2023

Get Started with Quarto

A new video for getting started with Quarto using R and RStudio

May 15, 2023

Group-equivariant neural networks with escnn

Group-equivariant neural networks with escnn

Escnn, built on PyTorch, is a library that, in the spirit of Geometric Deep Learning, provides a high-level interface to designing and training group-equivariant neural networks. This post introduces important mathematical concepts, the library’s key actors, and essential library use

May 9, 2023

Shiny on Hugging Face

Deploy Shiny on Hugging Face with the click of a button

Gordon Shotwell

May 8, 2023

Q1 2023 tidymodels digest

The tidymodels team has been busy working on all sorts of new features across the ecosystem

Apr 28, 2023

Fireworks with a silhouette of an audience

Quarto 1.3

Quarto 1.3 brings new features, improvements, and fixes

Apr 26, 2023

Differences between the base R and magrittr pipes

Differences between the base R and magrittr pipes

A discussion of the (relatively minor) differences between the native R pipe, |>, and the magrittr pipe, %>%

Apr 21, 2023

Tuning hyperparameters with tidymodels is a delight

Tuning hyperparameters with tidymodels is a delight

New releases of the tune, finetune, and workflowsets packages have made optimizing model parameters with tidymodels even more pleasant

Apr 20, 2023

censored 0.2.0

censored 0.2.0 is on CRAN! censored has two new engines for random forests and parametric survival models

Apr 19, 2023

Writing performant code with tidy tools

When performance becomes an issue for code using tidy interfaces, switching to the backend tools used by tidy developers can offer substantial speedups

Apr 18, 2023

luz 0.4.0

luz v0.4.0 is now on CRAN. This release adds support for training models on ARM Mac GPUs, reduces the overhead of using luz, and makes it easier to checkpoint and resume failed runs

Apr 17, 2023

torch 0.10.0

torch v0.10.0 is now on CRAN. This version upgraded the underlying LibTorch to 1.13.1, and added support for Automatic Mixed Precision. As an experimental feature, we now also support pre-built binaries, so you can install torch without having to deal with the CUDA installation

Apr 14, 2023

Daniel Falbel, Sigrid Keydana

De-noising Diffusion with torch

Currently, in generative deep learning, no other approach seems to outperform the family of diffusion models. Would you like to try for yourself? If so, our torch implementation of de-noising diffusion provides an easy-to-use, easy-to-configure interface

Apr 13, 2023

Deep Learning and Scientific Computing with R torch: the book

Deep Learning and Scientific Computing with R torch: the book

Please allow us to introduce Deep Learning and Scientific Computing with R torch. Released in e-book format today, and available freely online, this book starts out by introducing torch basics. From there, it moves on to various deep-learning use cases. Finally, it shows how to use torch for more general topics, such as matrix computations and the Fourier Transform

Apr 5, 2023

New CRAN requirements for packages with C and C++

New CRAN requirements for packages with C and C++

A few recent changes in CRAN requirements for packages containing C or C++ code have caused package developers some headaches. This post outlines the issues and provides solutions the tidyverse team has used to address them

Andy Teucher

Mar 30, 2023

Shiny Conf 2023 Recap

Appsilon’s Shiny Conf 2023 was a big success, with many incredible speakers (including 3 members of our team!)

Mar 28, 2023

Implementing rotation equivariance: Group-equivariant CNN from scratch

Implementing rotation equivariance: Group-equivariant CNN from scratch

We code up a simple group-equivariant convolutional neural network (GCNN) that is equivariant to rotation. The world may be upside down, but the network will know

Mar 27, 2023

dplyr 1.1.1

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

Mar 22, 2023

Confluence Publishing

Quarto 1.3 adds support for publishing individual documents, and projects containing many documents to Atlassian Confluence

Mar 20, 2023

A screenshot of a Quarto page that includes a plot, below the plot is the phrase Source: penguins.ipynb.

Jupyter Notebook Cell Embedding

Quarto 1.3 adds support for embedding cells from a Jupyter Notebook into a Quarto document via an embed shortcode. In HTML documents, links are automatically added that point to a rendered version of the external notebook

Mar 17, 2023

New to the ShinyUiEditor: bslib Cards!

The latest version of {shinyuieditor} includes the new card component from {bslib}. In this post, we describe how you can use these cards and a new static-text component to easily organize your app’s content in a visually appealing way

Mar 15, 2023

Screenshot of a Quarto webpage showing a section entitled 'Other Formats' with items Jupyter and MS Word

Multi-format Publishing

In Quarto 1.3, additional formats listed in HTML documents will automatically be linked in an “Other Formats” section near the top of the page

Mar 15, 2023

Screenshot a code chunk with annotations. Annotations appear in the code chunk as numbers within circles, and repeat below the code chunk along with the text content of the annotations.

Code Annotation

In Quarto 1.3, you can add line based annotations to code chunks to highlight or explain parts of your code

Mar 13, 2023

webR 0.1.0 has been released

webR 0.1.0 has been released! Using the magic of WebAssembly, webR allows you to run R code directly within a web browser

Mar 9, 2023

Upside down, a cat’s still a cat: Evolving image recognition with Geometric Deep Learning

In this first in a series of posts on group-equivariant convolutional neural networks (GCNNs), meet the main actors — groups — and concepts (equivariance). With GCNNs, we finally revisit the topic of Geometric Deep Learning, a principled, math-driven approach to neural networks that has consistently been rising in scope and impact

Mar 9, 2023

tidyverse 2.0.0

Now including lubridate!

Mar 8, 2023

dtplyr 1.3.0

dtplyr brings initial support for dplyr 1.1.0 features, new translations, and a breaking change

Feb 24, 2023

dplyr 1.1.0: `pick()`, `reframe()`, and `arrange()`

dplyr 1.1.0: pick(), reframe(), and arrange()

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()

Feb 7, 2023

dplyr 1.1.0: The power of vctrs

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()

Feb 2, 2023

dplyr 1.1.0: Per-operation grouping

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()

Feb 1, 2023

dplyr 1.1.0: Joins

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

Jan 31, 2023

forcats 1.0.0

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

Jan 30, 2023

tidyr 1.3.0

tidyr 1.3.0 brings a new family of string separating functions, along with improvements to unnest_longer(), unnest_wider(), pivot_longer(), and nest()

Jan 24, 2023

AO, NAO, ENSO: A wavelet analysis example

AO, NAO, ENSO: A wavelet analysis example

El Niño-Southern Oscillation (ENSO), North Atlantic Oscillation (NAO), and Arctic Oscillation (AO) are atmospheric phenomena of global impact that strongly affect people’s lives. ENSO, first and foremost, brings with it floods, droughts, and ensuing poverty, in developing countries in the Southern Hemisphere. Here, we use the new torchwavelets package to comparatively inspect patterns in the three series

Jan 19, 2023

dbplyr 2.3.0

dbplyr 2.3.0 brings improvements to SQL generation, improved error messages, a handful of new translations, and a bunch of backend specific improvements

Jan 16, 2023

Q4 2022 tidymodels digest

The tidymodels team has been busy working on all sorts of new features across the ecosystem

Dec 29, 2022

purrr 1.0.0

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!

Dec 20, 2022

Announcing new R Shiny UI components

The {bslib} R package recently added new user interface (UI) components, including (full-screen) Cards, Value Boxes, and a responsive column wrapping layout. Start using them today in Shiny, R Markdown, and/or Quarto

Carson Sievert

Dec 20, 2022

Joe Cheng speaking at RStudio's conference in 2022

The Past and Future of Shiny

To celebrate Shiny’s 10th anniversary, let’s talk about how we started and where we’re going

Dec 15, 2022

tidyclust is on CRAN

Tidyclust is on CRAN. tidyclust provides a common interface for specifying clustering models, in the same style as parsnip

Dec 6, 2022

stringr 1.5.0

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

Dec 5, 2022

Model Calibration

Model Calibration is coming to tidymodels. This post covers the new plotting functions, and our plans for future enhancements

Nov 29, 2022

dplyr 1.1.0 is coming soon

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

Nov 28, 2022

ggplot2 3.4.0

ggplot2 3.4.0 is now on CRAN. Read all about the (mostly internal) changes that make up this release

Nov 7, 2022

Wavelet Transform - with torch

torch does not have built-in functionality to do wavelet analysis. But we can efficiently implement what we need, making use of the Fast Fourier Transform (FFT). This post is a very first introduction to wavelets, suitable for readers that have not encountered it before. At the same time, it provides useful starter code, showing an (extensible) way to perform wavelet analysis in torch. It is an excerpt from the corresponding chapter in the forthcoming book, Deep Learning and Scientific Computing with R torch, to be published by CRC Press

Oct 27, 2022

torch 0.9.0

torch v0.9.0 is now on CRAN. This version adds support for ARM systems running macOS, and brings significant performance improvements

Oct 25, 2022

Discrete Fourier Transform - with torch

About the Fourier Transform, it has been said that it is one of the greatest wonders of the universe. At the same time, it can be realized in a mere half-dozen lines of code. Even if in the end, you’re just going to call torch’s built-in functions directly, it helps to understand, and be able to reproduce in code, the ideas that underlie the magic. This post is an excerpt from the forthcoming book, Deep Learning and Scientific Computing with R torch, to be published by CRC Press

Oct 20, 2022

Q3 2022 tidymodels digest

Our post-RStudio conference productivity has been high! This post talks about tidymodels updates from the last few months

Oct 19, 2022

Lionel Henry, Hadley Wickham

tidyselect 1.2.0

tidyselect 1.2.0 hit CRAN last week and includes a few updates to the syntax of selections in tidyverse functions

Oct 18, 2022

Five ways to do least squares (with torch)

Five ways to do least squares (with torch)

Get to know torch’s linalg module, all while learning about different ways to do least-squares regression from scratch. This post is a condensed version of the corresponding chapter in the forthcoming book, Deep Learning and Scientific Computing with R torch, to be published by CRC Press

Oct 13, 2022

Audio classification with torch

Learn how to classify speech utterances with torch, making use of domain knowledge and deep learning. This post is a condensed version of the corresponding chapter in the forthcoming book, Deep Learning and Scientific Computing with R torch, to be published by CRC Press

Oct 6, 2022

Oscar Kjell, Salvatore Giorgi, H Andrew Schwartz

Introducing the text package

The text package attempts to provide user-friendly access and pipelines to HuggingFace’s transformer language models in R

Oct 4, 2022

Improvements to model specification checking in tidymodels

Improvements to model specification checking in tidymodels

parsnip 1.0.2 includes a number of changes to how the package checks model specifications, improving error messages and tightening integration with its extension packages

Oct 3, 2022

Playing on the same team as your dependency

Playing on the same team as your dependency

Using another package as a dependency is a two-way street, but the expectations can be murky. This blog post guides you towards becoming a stellar reverse dependency

Sep 29, 2022

It’s about time

Davis Vaughan’s talk from rstudio::conf(2022) on clock, an R package that aims to provide comprehensive and safe handling of date-times

Sep 28, 2022

brulee 0.2.0

Version 0.2.0 of brulee introduces learning rate schedulers

Sep 26, 2022

Announcing bundle

Some models store information in locations that cannot be saved via regular R serialization. The new bundle package provides a consistent interface for bundling model objects with their references so that they can be safely saved and re-loaded in production

Sep 16, 2022

Make your ggplot2 extension package understand the new linewidth aesthetic

Make your ggplot2 extension package understand the new linewidth aesthetic

The next release of ggplot2 will contain a number of internal improvements and fixes long-time inconsistencies. One of these are the conflation of point size and linewidth into the same aesthetic. This post will go into detail with how you can make your extension package work well with the new linewidth aesthetic

Aug 24, 2022

luz 0.3.0

luz version 0.3.0 is now on CRAN. luz is a high-level interface for torch

Aug 24, 2022

censored 0.1.0

censored 0.1.0 is a new tidymodels package for survival models

Aug 10, 2022

rsample 1.1.0

rsample 1.1.0 is now on CRAN! This release provides a ton of new functions for grouped resampling, as well as a few long-awaited utility functions

Mike Mahoney

Aug 8, 2022

The main page for the quarto-ext GitHub organization which lists extensions published by the Quarto core team.

Quarto Extensions

Quarto Extensions are a powerful way to modify or extend the behavior of Quarto, and can be created and distributed by anyone. Extension types include filters, shortcodes, and custom formats

Jul 25, 2022

Q2 2022 tidymodels digest

Q2 marks the end of the season of case weights, with 25 new releases

Jul 19, 2022

lintr 3.0.0

lintr 3.0.0 is a major release featuring a more consistent API for using linter and dozens of new linters included

Michael Chirico

Jul 15, 2022

bonsai 0.1.0

A new parsnip extension package for tree-based models is now on CRAN

Jun 30, 2022

spatialsample 0.2.0

spatialsample 0.2.0 is now on CRAN! This release provides a bunch of new features, including new spatial resampling methods, visualization helpers, and spatial buffering

Mike Mahoney

Jun 21, 2022

Quarto at rstudio::conf(2022)

rstudio::conf(2022) will feature a variety of workshops and talks on Quarto. Join us in Washington DC this July 25-28 to learn more about Quarto and hear from folks using Quarto to create, share, and collaborate

Jun 21, 2022

TensorFlow and Keras 2.9

New TensorFlow and Keras releases bring improvements big and small

Jun 9, 2022

Announcing vetiver for MLOps in R and Python

Announcing vetiver for MLOps in R and Python

We are thrilled to announce the release of vetiver, a framework for MLOps tasks in R and Python. Use vetiver to version, share, deploy, and monitor a trained model

Jun 9, 2022

dbplyr 2.2.0

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

Jun 6, 2022

GitHub Actions for R developers, v2

We have updated our GitHub Actions at r-lib/actions. Consider upgrading to the new v2 version, for faster and more reliable GHA jobs

Jun 1, 2022

Deep Learning with R, 2nd Edition

Announcing the release of “Deep Learning with R, 2nd Edition,” a book that shows you how to get started with deep learning in R

May 31, 2022

Community spotlight: Fun with torchopt

Today, we want to call attention to a highly useful package in the torch ecosystem: torchopt. It extends torch by providing a set of popular optimization algorithms not available in the base library. As this post will show, it is also fun to use!

May 18, 2022

roxygen2 7.2.0

roxygen2 7.2.0 brings improvements to NAMESPACE generation, better multiparameter argument inheritance, and improved warnings

May 13, 2022

Using case weights with tidymodels

Support for case weights is now available across many tidymodels packages

May 5, 2022

Updates for recipes extension packages

The three extension packages for recipes were recently updated on CRAN adding new steps, features and bug fixes

May 3, 2022

torch outside the box

Sometimes, a software’s best feature is the one you’ve added yourself. This post shows by example why you may want to extend torch, and how to proceed. It also explains a bit of what is going on in the background

Apr 27, 2022

haven 2.5.0

haven 2.5.0 adds support for custom character widths, creates FDA-compliant XPT files, and can use Stata’s strL variable type

Apr 15, 2022

scales 1.2.0

scales 1.2.0 brings a number of small but useful improvements to numeric labels

Apr 13, 2022

Q1 2022 tidymodels digest

There were 21 releases of tidymodels packages during Q1 of this year, and this post shares some highlights!

Apr 1, 2022

readxl 1.4.0

readxl 1.4.0 is a maintenance release with practically no user-facing changes, but extensive change to package internals

Mar 28, 2022

Updates for parsnip packages

The parsnip package and six of its extension packages were recently updated on CRAN. One of the extensions is a new package for fitting multilevel statistical models

Mar 24, 2022

usemodels 0.2.0

A new release of the usemodels package makes it even easier to use tidymodels

Mar 23, 2022

ragg, svglite, and the new graphics features

ragg, svglite, and the new graphics features

The graphics engine in R is continually improving, and the ragg and svglite graphic devices follow along in supporting them. This blog post outlines what is now possible, and what might come in the future

Feb 25, 2022

Upgrading to testthat edition 3

A workflow for upgrading to testthat edition 3: activation, deprecations, changes to warnings, messages, and comparisons

Feb 22, 2022

recipes 0.2.0

Recipes has added a few new steps along with many improvements

Feb 22, 2022

Screenshot of two sections of post: Margin Figures, which has a plot in the margin; and Arbitrary Margin Content, which has text with a LaTeX equation in the margin.

Positioning Content in the Margin

This post demonstrates a few of the capabilities for positioning content in the margin of the page. You can read more about the complete capabilities in the Article Layout Guide

Charles Teague

Feb 17, 2022

Table 1: Example. Has two subtables: Subtable a, Cars, with columns for speed and dist; and subtable b, Pressure, with columns for temperature and pressure.

Customizing Table Output

This post provides an overview of these capabilities in Quarto. For more detail about all the features Quarto for authoring tables, see Tables

Feb 15, 2022

Three calout boxes: A note (has a blue banner with info icon preceding the header), a tip (has a green banner with lightbulb icon preceding the header), and an important (has a red banner with info exclamation-point icon preceding the header).

Using Callouts

Callouts are an excellent way to draw extra attention to certain concepts, or to more clearly indicate that certain content is supplemental or applicable to only some scenarios

Charles Teague

Feb 13, 2022

tidyr 1.2.0

tidyr 1.2.0 includes a bunch of new features and bug fixes, particularly for pivoting, rectangling, and grid specific tools

Feb 1, 2022

Brendan Cullen, Alison Hill, Isabella Velásquez

R Markdown Lesser-Known Tips & Tricks #2: Cleaning Up Your Code

R Markdown Lesser-Known Tips & Tricks #2: Cleaning Up Your Code

In this series, we show you lesser-known tips and tricks to help you work more effectively and efficiently in R Markdown. This second post focuses on cleaning up your R Markdown code

Jan 6, 2022

New error style coming up in rlang 1.0.0

New error style coming up in rlang 1.0.0

rlang 1.0.0 is near and introduces a new style of error display. Feedback welcome!

Dec 22, 2021

Integrating Dynamic R and Python Models in Tableau Using plumbertableau

Integrating Dynamic R and Python Models in Tableau Using plumbertableau

The plumbertableau and fastapitableau packages allow you to integrate dynamic R and Python models in Tableau, enhancing your organization’s preferred dashboard tool

Dec 20, 2021

Closing out our year with a Q4 2021 tidymodels update

Closing out our year with a Q4 2021 tidymodels update

New features like an R Markdown template and Shiny app offer more robust support for modeling analyses, and our survey results outline some priorities for next year

Dec 16, 2021

Katie Masiello, Isabella Velásquez

Sharing Data With the pins Package

The pins package publishes R objects, such as data sets and predictive models, on a virtual corkboard so that you can share and reuse them easily and safely

Dec 15, 2021

Sigrid Keydana, Tomasz Kalinowski

Pre-processing layers in keras: What they are and how to use them

Pre-processing layers in keras: What they are and how to use them

For keras, the last two releases have brought important new functionality, in terms of both low-level infrastructure and workflow enhancements. This post focuses on an outstanding example of the latter category: a new family of layers designed to help with pre-processing, data-augmentation, and feature-engineering tasks

Dec 9, 2021

Using Keras for Deep Learning with R

We are excited to announce new developments in Keras for R. Data scientists can use the most popular and powerful deep learning frameworks to guide data-driven decisions, all within R

Dec 8, 2021

Re-licensing packages: a retrospective

Over the past year and change we re-licensed the vast majority of tidyverse, tidymodels, and r-lib packages to use the MIT license. Here, we discuss the mechanics and rationale

Dec 7, 2021

dtplyr 1.2.0

dtplyr 1.2.0 adds three new authors, a bunch of tidyr translations, new join translations, and many minor translation improvements

Dec 6, 2021

pkgdown 2.0.0

pkgdown 2.0.0 includes a major refresh of the default template (now using bootstrap 5), many new ways to customise your site, improvements to code styling, and much, much, more

Dec 3, 2021

cli 3.1.0

cli 3.1.0 introduces customizable color palettes plus it comes with a number of other smaller improvements

Nov 19, 2021

Sigrid Keydana, Tomasz Kalinowski

Revisiting Keras for R

It’s been a while since this blog featured content about Keras for R, so you might’ve thought that the project was dormant. It’s not! In fact, Keras for R is better than ever, with two recent releases adding powerful capabilities that considerably lighten previously tedious tasks. This post provides a high-level overview. Future posts will go into more detail on some of the most helpful new features, as well as dive into the powerful low-level enhancements that make the former possible

Nov 18, 2021

Filip Wästberg, Jesper Ludvigsen, Vilgot Österlund

How To Augment Tableau With R & Python - A Webinar and Case Study from Sweden

How To Augment Tableau With R & Python - A Webinar and Case Study from Sweden

In an upcoming webinar on November 17th, Solita will showcase how they successfully combined the strengths of RStudio and Tableau at one of Sweden’s largest government agencies

Nov 15, 2021

Eager vs lazy reading in readr 2.1.0

readr 2.1.0 is now on CRAN. This post explains the change for default reading to be eager rather than lazy

Nov 11, 2021

archive 1.1.2

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

Nov 4, 2021

Survival Analysis in tidymodels

We are working on extending support for survival analysis in tidymodels. We are looking for early adopters to try out the new package called censored and give feedback

Nov 2, 2021

How the "Clusterbuster" Shiny App Helps Hundreds of Doctors and Epidemiologists Battle COVID-19 in the Netherlands

How the “Clusterbuster” Shiny App Helps Hundreds of Doctors and Epidemiologists Battle COVID-19 in the Netherlands

In this post, we explore the creation and evolution of the Clusterbuster, a Shiny app developed by the Dutch National Institute for Public Health and the Environment. Hundreds of doctors and epidemiologists use the Clusterbuster to gain insight into COVID-19 clusters in the Netherlands

Nov 2, 2021

Train in R, run on Android: Image segmentation with torch

Train in R, run on Android: Image segmentation with torch

We train a model for image segmentation in R, using torch together with luz, its high-level interface. We then JIT-trace the model on example input, so as to obtain an optimized representation that can run with no R installed. Finally, we show the model being run on Android

Oct 29, 2021

Renaming the default branch

We are renaming the default branch of many Git(Hub) repositories and this post explains how contributors can adapt, using new functionality in usethis

Oct 27, 2021

Screenshot of Tableau visualization and ggviolin plot in a Tableau dashboard

Embedding Shiny Apps in Tableau Dashboards Using shinytableau

This post introduces and walks through shinytableau, a package that allows you to create dashboard extensions that embed Shiny apps in Tableau. Users can take advantage of R’s powerful visualization and reporting capabilities when working in Tableau dashboards

Oct 21, 2021

NSF, Spelman College, and RStudio logos on a grey grid background

The INSPIRE U2 Program: Training Students in Big Data and Statistics Using RStudio

Dr. A. Nayena Blankson, Professor of Psychology at Spelman College, introduces the INSPIRE U2 Program and describes the 2021 partnership with RStudio. The INSPIRE U2 Program provides a learning pathway for underrepresented female students to enter advanced degrees and careers in statistical fields

Dr. A. Nayena Blankson

Oct 20, 2021

Take the tidymodels survey for 2022 priorities

Take the tidymodels survey for 2022 priorities

We are conducting our second tidymodels priorities survey. Please give us your feedback!

Oct 6, 2021

testthat 3.1.0

testthat 3.1.0 brings improvements to snapshot testing and one breaking change

Oct 4, 2021

pins 1.0.0

pins 1.0.0 is now available on CRAN! The pins package publishes data, models, and other R objects, making it easy to share them across projects and with your colleagues. Pins can be versioned, making it straightforward to track changes, re-run analyses on historical data, and undo mistakes

Oct 4, 2021

Q3 2021 tidymodels roundup

Use new tuning parameters, new recipe steps, and a new example dataset!

Sep 28, 2021

Pathway to success - updating your package to cpp11

Pathway to success - updating your package to cpp11

The cpp11 summer intern reviews the process they used to convert readxl to using cpp11

Shelby Bearrows

Sep 10, 2021

Teaching the tidyverse in 2021

Recommendations for teaching the tidyverse in 2021, summarizing package updates most relevant for teaching data science with the tidyverse, particularly to new learners

Aug 31, 2021

Beyond alchemy: A first look at geometric deep learning

Beyond alchemy: A first look at geometric deep learning

Geometric deep learning is a “program” that aspires to situate deep learning architectures and techniques in a framework of mathematical priors. The priors, such as various types of invariance, first arise in some physical domain. A neural network that well matches the domain will preserve as many invariances as possible. In this post, we present a very conceptual, high-level overview, and highlight a few applications

Aug 26, 2021

waldo 0.3.0

waldo 0.3.0 improves the display of data frame differences, and gives the objects being compared the ability to control the detail of their comparisons

Aug 24, 2021

Cheatsheet Updates

Many RStudio cheatsheets have been updated or reworked based on recent package updates, and we’ve updated the cheatsheet contribution process as well. You’ll also see some small changes to the cheatsheet website reflecting these changes

Averi Perny

Aug 23, 2021

Announcing bookdown v0.23

The latest version of the bookdown package is now on CRAN. A highlight of the version 0.23 release is a new HTML book output format based on Bootstrap 4 called bs4_book(). This release also includes improved search, customizable 404 pages, and new project templates

Aug 18, 2021

infer 1.0.0

The first major release of infer, a package implementing a unified approach to statistical inference, is now on CRAN

Aug 17, 2021

torch: Just-in-time compilation (JIT) for R-less model deployment

torch: Just-in-time compilation (JIT) for R-less model deployment

Using the torch just-in-time (JIT) compiler, it is possible to query a model trained in R from a different language, provided that language can make use of the low-level libtorch library. This post shows how. In addition, we try to untangle a bit of the terminological jumble surrounding the topic

Aug 10, 2021

bigrquery 1.4.0

bigrquery 1.4.0 fixes a bug in bq_table_download()

Aug 4, 2021

New tidymodels releases for July 2021

We highlight a series of new tidymodels package versions and their improvements

Jul 27, 2021

googlesheets4 1.0.0

Version 1.0.0 marks the graduation of googlesheets4 from experimental to stable

Jul 26, 2021

Top 3 Coding Best Practices from the Shiny Contest

Three coding best practices from Shiny Contest winners: modules, custom CSS, and reactive organization

Jul 22, 2021

readr 2.0.0

This major release of readr includes a new multi-threaded parsing engine powered by vroom and a number of user interface improvements

Jul 20, 2021

googledrive 2.0.0

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

Jul 8, 2021

sparklyr.sedona: A sparklyr extension for analyzing geospatial data

sparklyr.sedona: A sparklyr extension for analyzing geospatial data

We are excited to announce the availability of sparklyr.sedona, a sparklyr extension making geospatial functionalities of the Apache Sedona library easily accessible from R

Jul 7, 2021

sparklyr 1.7: New data sources and spark_apply() capabilities, better interfaces for sparklyr extensions, and more!

sparklyr 1.7: New data sources and spark_apply() capabilities, better interfaces for sparklyr extensions, and more!

Sparklyr 1.7 delivers much-anticipated improvements, including R interfaces for image and binary data sources, several new spark_apply() capabilities, and better integration with sparklyr extensions

Jul 6, 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

Jul 4, 2021

Q2 2021 tidymodels digest

Releases of tidymodels packages in Q2 of 2021 include more streamlined memory footprints for feature-engineering recipes, new model engine options, and better support for post-processing predictions

Jul 2, 2021

Off-label uses in ggplot2

How can ggplot2 break with no breaking changes? This short post goes into detail with how and why the latest ggplot2 release disrupted some users workflow

Jun 24, 2021

vdiffr 1.0.0

This major release of vdiffr includes an updated SVG engine and integrates with the snapshot management mechanism of testthat 3

Jun 21, 2021

Que haja luz: More light for torch!

Today, we’re introducing luz, a high-level interface to torch that lets you train neural networks in a concise, declarative style. In some sense, it is to torch what Keras is to TensorFlow: It provides both a streamlined workflow and powerful ways for customization

Jun 17, 2021

Choose your own tidymodels adventure

The tidymodels ecosystem is modular and flexible, which can sometimes make choosing an approach overwhelming for newcomers. This post offers opinionated guidance on where to start!

May 24, 2021

ASA DataFest 2021

Recap of the 2021 ASA DataFest: 2,500+ students analyzing drug misuse survey data

May 20, 2021

A screenshot of an app, showing it in light mode and dark mode

Weather App Story Pt. 3: Styling

The bslib package allows for extremely easy customization of your Shiny app’s style using the bootstrap css framework. It also allows you to update theming in a running app to create dynamicly styled apps

Apr 27, 2021

torch for optimization

Torch is not just for deep learning. Its L-BFGS optimizer, complete with Strong-Wolfe line search, is a powerful tool in unconstrained as well as constrained optimization

Apr 27, 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

Apr 24, 2021

recipes 0.1.16

The new version of recipes contains several helpful improvements

Apr 23, 2021

Latest news from the R Markdown family

Happy spring! In this post, we’ll share the latest news from the R Markdown family of packages so that you know all you need to know to take advantage of the newest features. New releases include the rmarkdown and pagedown packages, among others

Apr 15, 2021

Impressions from New Zealand’s R Exchange

Impressions from New Zealand’s R Exchange

In March of 2021, Epi-Interactive hosted one of the first in-person R events in Wellington, New Zealand. Here are some takeaways from their experience

Uli Muellner

Apr 14, 2021

reprex 2.0.0

reprex is now much easier to use on RStudio Server and RStudio Cloud

Apr 5, 2021

Comprehensive Date-Time Handling for R

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

Mar 31, 2021

workflowsets 0.0.1

A new package for evaluating many models at once is now on CRAN, along with a corresponding update to the tidyposterior package

Mar 30, 2021

Barret Schloerke, Carson Sievert

plumber 1.1.0

{plumber} v1.1.0 is now on CRAN! In this post, we’ll highlight some of the most exciting new features in both the v1.1.0 and v1.0.0 releases, including: parallel endpoint execution, a tidy interface, and request body parsing

Mar 29, 2021

sparklyr 1.6: weighted quantile summaries, power iteration clustering, spark_write_rds(), and more

The sparklyr 1.6 release introduces weighted quantile summaries, an R interface to power iteration clustering, spark_write_rds(), as well as a number of dplyr-related improvements

Mar 25, 2021

torch time series, final episode: Attention

torch time series, final episode: Attention

We conclude our mini-series on time-series forecasting with torch by augmenting last time’s sequence-to-sequence architecture with a technique both immensely popular in natural language processing and inspired by human (and animal) cognition: attention

Mar 19, 2021

torch time series, take three: Sequence-to-sequence prediction

torch time series, take three: Sequence-to-sequence prediction

In our overview of techniques for time-series forecasting, we move on to sequence-to-sequence models. Architectures in this family are commonly used in natural language processing (NLP) tasks, such as machine translation. With NLP, however, significant pre-processing is required before proceeding to model definition and training. In staying with our familiar numerical series, we can fully concentrate on the concepts

Mar 16, 2021

torch time series continued: A first go at multi-step prediction

torch time series continued: A first go at multi-step prediction

We continue our exploration of time-series forecasting with torch, moving on to architectures designed for multi-step prediction. Here, we augment the “workhorse RNN” by a multi-layer perceptron (MLP) to extrapolate multiple timesteps into the future

Mar 11, 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

Mar 10, 2021

Introductory time-series forecasting with torch

Introductory time-series forecasting with torch

This post is an introduction to time-series forecasting with torch. Central topics are data input, and practical usage of RNNs (GRUs/LSTMs). Upcoming posts will build on this, and introduce increasingly involved architectures

Mar 10, 2021

Catch up with tidymodels

Releases of tidymodels packages in Q1 of 2021 offer new functions for easier model building and resampling, along with a new package for resampling spatial data

Mar 10, 2021

dplyr backends: multidplyr 0.1.0, dtplyr 1.1.0, dbplyr 2.1.0

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 25, 2021

Online Educational Content Development: Pain Points & the Future

Online Educational Content Development: Pain Points & the Future

Frustrations and possible solutions for online course development

Shannon Ellis

Feb 15, 2021

lifecycle 1.0.0

The lifecycle package documentation received a major overhaul based on what I learned preparing for my rstudio::global keynote

Feb 15, 2021

Winston Chang, Nick Strayer

Introducing Shiny App Stories

App Stories are a bit different from the User Showcase: an App Story will center around a Shiny application, but the application will be designed specifically to show off specific features, and it will also include explanations of how to use those features

Feb 12, 2021

torch, tidymodels, and high-energy physics

torch, tidymodels, and high-energy physics

Today we introduce tabnet, a torch implementation of “TabNet: Attentive Interpretable Tabular Learning” that is fully integrated with the tidymodels framework. Per se, already, tabnet was designed to require very little data pre-processing; thanks to tidymodels, hyperparameter tuning (so often cumbersome in deep learning) becomes convenient and even, fun!

Feb 11, 2021

svglite 2.0.0

svglite 2.0.0 is now on CRAN. This is a huge feature release and part rewrite, and should excite anyone who cares about vector graphics. Read on to find out what is new!

Feb 8, 2021

Distill it down

My experiences with building webpages and websites using some of the simpler R Studio tools

Feb 8, 2021

Modern Text Features in R

ragg has taken a major leap forward in text-rendering capabilities with the latest releases of systemfonts, textshaping, and ragg itself. This post will go into detail with what is now possible and how it compares to the build in devices

Feb 6, 2021

Simple audio classification with torch

This article translates Daniel Falbel’s post on “Simple Audio Classification” from TensorFlow/Keras to torch/torchaudio

Athos Damiani

Feb 4, 2021

Forecasting El Niño-Southern Oscillation (ENSO)

Forecasting El Niño-Southern Oscillation (ENSO)

El Niño-Southern Oscillation (ENSO) is an atmospheric phenomenon, located in the tropical Pacific, that greatly affects ecosystems as well as human well-being on a large portion of the globe. We use the convLSTM introduced in a prior post to predict the Niño 3.4 Index from spatially-ordered sequences of sea surface temperatures

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()

Feb 2, 2021

Carson Sievert, Winston Chang, Barret Schloerke

Shiny 1.6

Shiny 1.6 is now on CRAN! This release includes significant improvements to theming, caching, accessibility, and more

Feb 1, 2021

reprex 1.0.0

We’ve never blogged about reprex before, so the release of v1.0.0 seems like a good occasion for it

Feb 1, 2021

Learning R Coding by Building Something Cool

Learning R Coding by Building Something Cool

Learning how to build a shiny dashboard, and through that gaining a deeper understanding of R coding

Aaron Durham

Jan 28, 2021

A plot showing how much faster an app will load with caching

Weather App Story Pt. 2: Caching

Here we demonstrate how the bindCache() function can greatly speed up a Shiny app with little effort

Jan 22, 2021

Announcing blogdown v1.0

The blogdown package is now on CRAN. Read on for highlights from the version 1.0 release, including smoother workflows, new checking functions to guide you into the pit of success, the ability to pin Hugo versions, better organization of content files via page bundles, and the new Markdown mode for R Markdown posts

Jan 18, 2021

Custom Google Analytics Dashboards with R: Building The Dashboard

In this post, I continue our series on how to create your own Google Analytics dashboard in R. Using the data we downloaded in our last post, we’ll now create a simple dashboard showing blog page views over time and highlighting the most popular ones

Carl Howe

Jan 6, 2021

A screenshot of Nick Strayer's Weather Lookup Shiny app, which shows themperature over time of a specific location

Weather App Story Pt. 1: About

Functionality and architecture overview of the Weather Lookup app

Jan 4, 2021

Exploring US COVID-19 Cases and Deaths

Arthur Steinmetz, former Chairman, CEO, and President of OppenheimerFunds, uses R and the tidymodels package to explore the relationship between COVID-19 cases and mortality in the US

Art Steinmetz

Dec 23, 2020

Newly certified instructors in December 2020

Newly certified instructors in December 2020

Welcome the latest cohort of instructors to complete certification

Dec 22, 2020

Latest News from the R Markdown Family

An end-of-2020 round-up of all the latest news from the R Markdown family of packages so that you know all you need to know to take advantage of the newest features

Dec 21, 2020

Yanina Bellini Saibene, Paola Corrales, Patricia Loto

Building capacities to teach data science in Latin America

Building capacities to teach data science in Latin America

The birth and growth of MetaDocencia in Latin America to nurture a community of Spanish-speaking educators in 2020 and beyond

Dec 18, 2020

Convolutional LSTM for spatial forecasting

Convolutional LSTM for spatial forecasting

In forecasting spatially-determined phenomena (the weather, say, or the next frame in a movie), we want to model temporal evolution, ideally using recurrence relations. At the same time, we’d like to efficiently extract spatial features, something that is normally done with convolutional filters. Ideally then, we’d have at our disposal an architecture that is both recurrent and convolutional. In this post, we build a convolutional LSTM with torch

Dec 17, 2020

torch 0.2.0 - Initial JIT support and many bug fixes

torch 0.2.0 - Initial JIT support and many bug fixes

The torch 0.2.0 release includes many bug fixes and some nice new features like initial JIT support, multi-worker dataloaders, new optimizers and a new print method for nn_modules

Dec 15, 2020

A hollywood star with the text 'sparklyr 1.5'

sparklyr 1.5: better dplyr interface, more sdf_* functions, and RDS-based serialization routines

Unlike all three previous sparklyr releases, the recent release of sparklyr 1.5 placed much more emphasis on enhancing existing sparklyr features rather than creating new ones. As a result, many valuable suggestions from sparklyr users were taken into account and were successfully addressed in a long list of bug fixes and improvements

Dec 14, 2020

usethis 2.0.0

This is a big release aimed at improving usability, especially around Git and GitHub functionality

Dec 10, 2020

Daryn Ramsden, James Laird-Smith, Max Kuhn

corrr 0.4.3

A new version of corrr features noteworthy improvements

Dec 9, 2020

Supporting the Carpentries

We are proud to support the Carpentries’ efforts to teach basic research computing skills

Dec 7, 2020

(Re-)introducing Distill for R Markdown

We are proud to announce the latest release of the distill package is now on CRAN. This version contains a number of major upgrades including the introduction of themed articles and websites, search, and improved accessibility

Alison Hill, JJ Allaire

Dec 7, 2020

Newly certified instructors in November 2020

Newly certified instructors in November 2020

Welcome the latest cohort of instructors to complete certification

Dec 3, 2020

finetune 0.0.1

finetune is a new package that adds a few more model tuning methods

Dec 2, 2020

stacks 0.1.0

Introducing ensemble learning to the tidymodels

Simon Couch, Max Kuhn

Nov 30, 2020

Brain image segmentation with torch

The need to segment images arises in various sciences and their applications, many of which are vital to human (and animal) life. In this introductory post, we train a U-Net to mark lesioned regions on MRI brain scans

Nov 30, 2020

Parallel processing with tune

With version 0.1.2 of tune, there are more options for parallel processing

Nov 27, 2020

Custom Google Analytics Dashboards with R: Downloading Data

This article, the first of three, describes how to use a code-oriented data science approach to Google Analytics data from a blog. It creates custom views of raw GA data while hiding the complexity of the Google Analytics data and interface

Carl Howe

Nov 27, 2020

Sparse data structures in tidymodels

Sparse data is common in many domains, and now tidymodels supports using sparse matrix structures throughout the fitting and tuning stages of modeling

Nov 25, 2020

tune 0.1.2

A new version of the tune package contains numerous new features

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

Nov 23, 2020

#BlackInDataWeek 2020

Learn, celebrate, and amplify Black voices in informatics, data science, and coding around the world

Alison Hill, Greg Wilson

Nov 16, 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

Nov 4, 2020

torch for tabular data

How not to die from poisonous mushrooms. Also: How to use torch for deep learning on tabular data, including a mix of categorical and numerical features

Nov 3, 2020

testthat 3.0.0

testhat 3.0.0 brings a raft of major improvements including snapshot testing and parallel testing. It also includes a new “edition” that allows you opt-in to a set of substantial improvements that are not backward compatible

Oct 31, 2020

Newly certified instructors in October 2020

Newly certified instructors in October 2020

Welcome the latest cohort of instructors to complete certification

Oct 30, 2020

recipes 0.1.14

A new version of the recipes package contains a signficant API update and some additional features

Oct 22, 2020

furrr 0.2.0

furrr 0.2.0 is now on CRAN!

Oct 19, 2020

Classifying images with torch

We learn about transfer learning, input pipelines, and learning rate schedulers, all while using torch to tell apart species of beautiful birds

Oct 19, 2020

waldo

waldo is a new package that makes it easier to see the differences between a pair of complex R objects

Oct 15, 2020

sparklyr.flint 0.2: ASOF Joins, OLS Regression, and additional summarizers

sparklyr.flint 0.2: ASOF Joins, OLS Regression, and additional summarizers

We are excited to announce a number of powerful, new functionalities and improvements which are now part of sparklyr.flint 0.2!

Oct 12, 2020

Optimizers in torch

Today, we wrap up our mini-series on torch basics, adding to our toolset two abstractions: loss functions and optimizers

Oct 9, 2020

Using torch modules

In this third installment of our mini-series introducing torch basics, we replace hand-coded matrix operations by modules, considerably simplifying our toy network’s code

Oct 7, 2020

readr 1.4.0

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

Oct 6, 2020

Ryan Estrellado, Joshua Rosenberg

Writing Data Science in Education Using R in the Open

Writing Data Science in Education Using R in the Open

We’re Learning Too

Oct 5, 2020

Introducing torch autograd

With torch, there is hardly ever a reason to code backpropagation from scratch. Its automatic differentiation feature, called autograd, keeps track of operations that need their gradients computed, as well as how to compute them. In this second post of a four-part series, we update our simple, hand-coded network to make use of autograd

Oct 5, 2020

Sample Shiny exam

Examples of the kinds of questions we ask on the Shiny exam

Oct 2, 2020

Getting familiar with torch tensors

In this first installment of a four-part miniseries, we present the main things you will want to know about torch tensors. As an illustrative example, we’ll code a simple neural network from scratch

Oct 1, 2020

sparklyr 1.4: Weighted Sampling, Tidyr Verbs, Robust Scaler, RAPIDS, and more

sparklyr 1.4: Weighted Sampling, Tidyr Verbs, Robust Scaler, RAPIDS, and more

Sparklyr 1.4 is now available! This release comes with delightful new features such as weighted sampling and tidyr verbs support for Spark dataframes, robust scaler for standardizing data based on median and interquartile range, spark_connect interface for RAPIDS GPU acceleration plugin, as well as a number of dplyr-related improvements

Sep 30, 2020

Newly certified instructors in September 2020

Newly certified instructors in September 2020

Welcome the latest cohort of instructors to complete certification

Sep 30, 2020

usemodels 0.0.1

The new usemodels R package is a helpful way to automatically generate tidymodels code

Sep 29, 2020

Please allow me to introduce myself: Torch for R

Please allow me to introduce myself: Torch for R

Today, we are excited to introduce torch, an R package that allows you to use PyTorch-like functionality natively from R. No Python installation is required: torch is built directly on top of libtorch, a C++ library that provides the tensor-computation and automatic-differentiation capabilities essential to building neural networks

Sep 29, 2020

Introducing torch for R

Announcing torch for R: use PyTorch natively in R for deep learning

Sep 29, 2020

How to deliver learnr tutorials in a package

How to deliver learnr tutorials in a package

A step by step guide to create a package for a learnr tutorial

Sep 28, 2020

Data Latam: A community of data practitioners

Data Latam: A community of data practitioners

A brief history of Data Latam and its role in offering educational resources to Spanish-speaking R users

Frans Van Dunné

Sep 21, 2020

workflows 0.2.0

workflows 0.2.0 is now on CRAN!

Sep 16, 2020

pkgdown 1.6.0

This release mostly contains bug fixes and minor improvements, but it now uses the downlit and ragg packages for syntax highlighting and graphical output, respectively

Sep 12, 2020

Concept Maps

Some examples of a useful technique for designing lessons

Sep 11, 2020

Shiny Solutions

Solutions to the exercises in Mastering Shiny are being assembled online

Maya Gans, Marly Gotti

Sep 10, 2020

Introducing sparklyr.flint: A time-series extension for sparklyr

Introducing sparklyr.flint: A time-series extension for sparklyr

We are pleased to announce that sparklyr.flint, a sparklyr extension for analyzing time series at scale with Flint, is now available on CRAN. Flint is an open-source library for working with time-series in Apache Spark which supports aggregates and joins on time-series datasets

Sep 7, 2020

An introduction to weather forecasting with deep learning

An introduction to weather forecasting with deep learning

A few weeks ago, we showed how to forecast chaotic dynamical systems with deep learning, augmented by a custom constraint derived from domain-specific insight. Global weather is a chaotic system, but of much higher complexity than many tasks commonly addressed with machine and/or deep learning. In this post, we provide a practical introduction featuring a simple deep learning baseline for atmospheric forecasting. While far away from being competitive, it serves to illustrate how more sophisticated and compute-intensive models may approach that formidable task by means of methods situated on the “black-box end” of the continuum

Sep 1, 2020

Newly certified instructors in August 2020

Newly certified instructors in August 2020

Welcome the latest cohort of instructors to complete certification

Aug 31, 2020

magrittr 2.0 is coming soon

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

Aug 26, 2020

Training ImageNet with R

This post explores how to train large datasets with TensorFlow and R. Specifically, we present how to download and repartition ImageNet, followed by training ImageNet across multiple GPUs in distributed environments using TensorFlow and Apache Spark

Aug 24, 2020

Taking Control of Plot Scaling

Learn how to control scaling of the content in your plot when you render plots to different sizes

Aug 21, 2020

More sample exams

More examples of the kinds of questions we ask on the tidyverse and teaching exams

Aug 18, 2020

Deepfake detection challenge from R

A couple of months ago, Amazon, Facebook, Microsoft, and other contributors initiated a challenge consisting of telling apart real and AI-generated (“fake”) videos. We show how to approach this challenge from R

Turgut Abdullayev

Aug 18, 2020

Spreadsheet workflows in R

Translate common spreadsheet workflows—IF statements, VLOOKUP, pivot tables—into tidyverse code

Devin Johnson

Aug 17, 2020

How to Deliver Maximum Value Using R & Python

For data science teams to be successful, they need to embrace both R and Python. The ease of interoperability gives the user the flexibility to fill in any tool gaps for their own needs

Daniel Chen

Aug 13, 2020

Newly certified instructors in July 2020

Newly certified instructors in July 2020

Welcome the latest cohort of instructors to complete certification

Aug 5, 2020

FNN-VAE for noisy time series forecasting

FNN-VAE for noisy time series forecasting

In the last part of this mini-series on forecasting with false nearest neighbors (FNN) loss, we replace the LSTM autoencoder from the previous post by a convolutional VAE, resulting in equivalent prediction performance but significantly lower training time. In addition, we find that FNN regularization is of great help when an underlying deterministic process is obscured by substantial noise

Jul 31, 2020

State-of-the-art NLP models from R

Nowadays, Microsoft, Google, Facebook, and OpenAI are sharing lots of state-of-the-art models in the field of Natural Language Processing. However, fewer materials exist how to use these models from R. In this post, we will show how R users can access and benefit from these models as well

Turgut Abdullayev

Jul 30, 2020

Parallelized sampling using exponential variates

Parallelized sampling using exponential variates

How can the seemingly iterative process of weighted sampling without replacement be transformed into something highly parallelizable? Turns out a well-known technique based on exponential variates accomplishes exactly that

Jul 29, 2020

Alison Hill, Allison Horst, Kristen Gorman

Release the penguins

The palmerpenguins data package is now on CRAN! Here are some examples to highlight why it is a great replacement for the iris dataset

Jul 27, 2020

4 Tips to Make Your Shiny Dashboard Faster

Yes, Shiny apps can be fast and scalable. But only if you build them in the right way and use the proper tools

Krystian Igras

Jul 21, 2020

Time series prediction with FNN-LSTM

In a recent post, we showed how an LSTM autoencoder, regularized by false nearest neighbors (FNN) loss, can be used to reconstruct the attractor of a nonlinear, chaotic dynamical system. Here, we explore how that same technique assists in prediction. Matched up with a comparable, capacity-wise, “vanilla LSTM”, FNN-LSTM improves performance on a set of very different, real-world datasets, especially for the initial steps in a multi-step forecast

Jul 20, 2020

Daniel Sjoberg, Margie Hannum, Karissa Whiting

Presentation-Ready Summary Tables with gtsummary

Presentation-Ready Summary Tables with gtsummary

The gtsummary package is for making beautiful summary tables with R, in R Markdown documents

Jul 20, 2020

Teaching the Tidyverse in 2020 - Part 4: When to purrr?

When to use purrr? Modern tidyverse alternatives for reading multiple files and fitting models

Jul 19, 2020

Teaching the Tidyverse in 2020 - Part 3: Data wrangling and tidying

Teaching data wrangling in 2020: pivot_longer/wider, across(), and rowwise() in dplyr and tidyr

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 17, 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

Jul 16, 2020

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

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

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

Jul 16, 2020

Teaching the Tidyverse in 2020 - Part 2: Data visualisation

Teaching data visualization in 2020: new ggplot2 features for introductory curricula

Jul 15, 2020

Alison Hill, Lou Bajuk, Robby Shaver, Pete Knast

Upcoming changes to RStudio Cloud pricing

Upcoming changes to RStudio Cloud pricing

Beginning August 3rd, we will offer paid premium plans — learn more about what is changing and what to expect

Jul 14, 2020

tune 0.1.1

A new version of the tune package brings better visualizations, engine-specific parameter tuning, and other features

Jul 13, 2020

Teaching the Tidyverse in 2020 - Part 1: Getting started

Getting started teaching the tidyverse in 2020: loading packages, managing environments, and using palmerpenguins

Jul 13, 2020

parsnip 0.1.2

A new version of parsnip bring improvements in how predictors are handled and a few other neat features

Jul 9, 2020

Instructor Certification Findings

What do our certified instructors think of the program?

Jul 6, 2020

Learning learnr

Learning how to use and extend the learnr package

Nischal Shrestha

Jul 1, 2020

Tidymodels Internship

A midpoint report on work with broom and model stacking

Jun 30, 2020

Newly certified instructors in June 2020

Newly certified instructors in June 2020

Welcome the latest cohort of instructors to complete certification

Jun 30, 2020

Working with Spreadsheets

A midterm report on a project to help people work with spreadsheets

Devin Johnson

Jun 29, 2020

recipes 0.1.13

Version 0.1.13 of recipes is on CRAN

Jun 25, 2020

Deep attractors: Where deep learning meets chaos

In nonlinear dynamics, when the state space is thought to be multidimensional but all we have for data is just a univariate time series, one may attempt to reconstruct the true space via delay coordinate embeddings. However, it is not clear a priori how to choose dimensionality and time lag of the reconstruction space. In this post, we show how to use an autoencoder architecture to circumvent the problem: Given just a scalar series of observations, the autoencoder directly learns to represent attractors of chaotic systems in adequate dimensionality

Jun 24, 2020

Data science summer camp for high schoolers

Data science summer camp for high schoolers

How I introduced R to a group of teenagers, and how learnr saved me from boring students to death

Jun 24, 2020

Data analysis for social justice in a Native classroom

Data analysis for social justice in a Native classroom

My personal experience teaching data science at an exclusively Native American community college in New Mexico

Nic Thompson Gonzalez

Jun 22, 2020

embed 0.1.0

An update to embed adds two new steps

Jun 9, 2020

Malcolm Barrett, Rich Iannone

My Organization's First R Package Workshop at rstudio::conf(2020)

My Organization’s First R Package Workshop at rstudio::conf(2020)

A tour of the rstudio::conf() workshop ‘My Organization’s First R Package’

Jun 8, 2020

Newly certified instructors in May 2020

Welcome the latest cohort of instructors to complete certification

Lucerne Workshops

Data science training in English and German

haven 2.3.0

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

dplyr 1.0.0 available now!

dplyr 1.0.0 is now available from CRAN!

pins 0.4.0: Versioning

A new release of pins is available on CRAN today. This release adds support to time travel across dataset versions, which improves collaboration and protects your code from breaking when remote resources change unexpectedly

May 29, 2020

Easy PixelCNN with tfprobability

PixelCNN is a deep learning architecture - or bundle of architectures - designed to generate highly realistic-looking images. To use it, no reverse-engineering of arXiv papers or search for reference implementations is required: TensorFlow Probability and its R wrapper, tfprobability, now include a PixelCNN distribution that can be used to train a straightforwardly-defined neural network in a parameterizable way

May 29, 2020

Deep Learning Workshop at rstudio::conf(2020)

Deep Learning Workshop at rstudio::conf(2020)

Synopsis of the two-day rstudio::conf(2020) workshop on deep learning

Brad Boehmke

May 28, 2020

tidyr 1.1.0

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

May 26, 2020

Teach R with Interactive Courses

How and why we built free online interactive courses for learning R

May 26, 2020

ThinkR Shiny Training

Shiny training from our friends at ThinkR

May 25, 2020

rules 0.0.1

The rules package is on CRAN and enables rule-based models for tidymodels

May 21, 2020

Teach R with learnr: a powerful tool for remote teaching

Teach R with learnr: a powerful tool for remote teaching

Why and how I created a learnr tutorial on Exploring missing data in naniar

Allison Horst

May 19, 2020

Updates to ragg and systemfonts

We have recently updated some of our low-level graphics packages. Read on about what is new in ragg and systemfonts

May 15, 2020

Hacking deep learning: model inversion attack by example

Hacking deep learning: model inversion attack by example

Compared to other applications, deep learning models might not seem too likely as victims of privacy attacks. However, methods exist to determine whether an entity was used in the training set (an adversarial attack called member inference), and techniques subsumed under “model inversion” allow to reconstruct raw data input given just model output (and sometimes, context information). This post shows an end-to-end example of model inversion, and explores mitigation strategies using TensorFlow Privacy

May 15, 2020

googlesheets4 0.2.0

googlesheets4 0.2.0: create and edit Google Sheets from R, now a full replacement for the googlesheets package

May 10, 2020

sparklyr 1.2: Foreach, Spark 3.0 and Databricks Connect

sparklyr 1.2: Foreach, Spark 3.0 and Databricks Connect

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

May 6, 2020

Hadley Wickham, Kirill Müller

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

May 6, 2020

Decorate your R code with flair

The goal of the flair package is to provide tools for formatting R code in knitted R Markdown files

Kelly Bodwin

May 4, 2020

Newly certified instructors in April 2020

Newly certified instructors in April 2020

Welcome the latest cohort of instructors to complete certification

Apr 30, 2020

Towards privacy: Encrypted deep learning with Syft and Keras

Towards privacy: Encrypted deep learning with Syft and Keras

Deep learning need not be irreconcilable with privacy protection. Federated learning enables on-device, distributed model training; encryption keeps model and gradient updates private; differential privacy prevents the training data from leaking. As of today, private and secure deep learning is an emerging technology. In this post, we introduce Syft, an open-source framework that integrates with PyTorch as well as TensorFlow. In an example use case, we obtain private predictions from a Keras model

Apr 29, 2020

dplyr 1.0.0 for package developers

dplyr 1.0.0 is scheduled for release on May 15. This blog post talks about what package maintainers can do to prepare

Apr 29, 2020

Self-cleaning test fixtures

A wild romp through environments – namely, the environments associated with functions and tests. How to adopt a low-impact lifestyle

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 27, 2020

sparklyr 1.2: Foreach, Spark 3.0 and Databricks Connect

A new sparklyr release is now available. This sparklyr 1.2 release features new functionalities such as support for Databricks Connect, a Spark backend for the ‘foreach’ package, inter-op improvements for working with Spark 3.0 preview, as well as a number of bug fixes and improvements addressing user-visible pain points

Apr 21, 2020

Announcing tidymodels.org

We’re thrilled to announce the launch of tidymodels.org! The site is a central location for learning and using the tidymodels packages

Apr 21, 2020

New parsnip-adjacent packages

Three new tidymodels packages, baguette, poissonreg, and plsmod, were just released on CRAN

Apr 15, 2020

pins 0.4: Versioning

Apr 13, 2020

usethis 1.6.0

usethis 1.6.0: GitHub Actions for CI, smoother package creation, and improved PR workflows

Apr 11, 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 10, 2020

tibble 3.0.0

tibble 3.0.0 is on CRAN now! Tibbles are a modern reimagining of the data frame, keeping what time has shown to be effective, and throwing out what is not, with nicer default output too! This article describes the latest major release and provides an outlook on further developments

Kirill Müller

Apr 9, 2020

Great Looking Tables: gt (v0.2)

Introducing gt v0.2: a grammar of tables for creating beautiful customized display tables in R

Rich Iannone

Apr 8, 2020

Announcing 2020 Interns

Meet this year’s interns

Apr 8, 2020

A first look at federated learning with TensorFlow

A first look at federated learning with TensorFlow

The term “federated learning” was coined to describe a form of distributed model training where the data remains on client devices, i.e., is never shipped to the coordinating server. In this post, we introduce central concepts and run first experiments with TensorFlow Federated, using R

Apr 8, 2020

First year of instructor training

Here’s what we’ve learned from the first year of RStudio’s instructor training and certification program

Apr 6, 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

Apr 3, 2020

Teaching online with RStudio Cloud

Q&A from the Teaching online with RStudio Cloud webinar

Apr 1, 2020

Newly certified instructors in March 2020

Newly certified instructors in March 2020

Welcome the latest cohort of instructors to complete certification

Mar 31, 2020

Tips for Making a New Cheatsheet

Tips for making a new cheatsheet

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 27, 2020

pkgdown 1.5.0

pkgdown 1.5.0: article descriptions, better navbar control, and richer Open Graph metadata

Mar 25, 2020

Reopening applications for instructor training

Reopening applications for instructor training

Applications for RStudio’s instructor training and certification program have reopened

Mar 24, 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 20, 2020

Resources and tips for teaching (with) R remotely

Resources and tips for teaching (with) R remotely

Many of us are moving our teaching online on short notice, thankfully there are lots of openly available online resources out there

Mar 19, 2020

roxygen2 7.1.0

A minor roxygen2 release with some new features

Mar 11, 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

Mar 9, 2020

Ted Laderas, Jessica Minnier, Florencia D'Andrea

(Re)building the R Bootcamp and generating R tutorials

(Re)building the R Bootcamp and generating R tutorials

Our experience (re-)building the R bootcamp and generating interactive R tutorials

Mar 6, 2020

ggplot2 3.3.0

The next iteration of ggplot2 has just been released on CRAN, packed with new features and bug fixes. Read all about what’s new here

Mar 5, 2020

forcats 0.5.0

Announcing the release of forcats 0.5.0 on CRAN

Mar 2, 2020

More 2020 tidy dev days!

A roundup of our post-rstudio::conf tidy dev day, and announcement of a pre-useR! 2020 event

Feb 28, 2020

Applications for 2020 Intern Program Are Now Open

Applications for 2020 Intern Program Are Now Open

Want to apply to this year’s summer intern program? Here’s how

Feb 20, 2020

Infinite surprise - the iridescent personality of Kullback-Leibler divergence

Infinite surprise - the iridescent personality of Kullback-Leibler divergence

Kullback-Leibler divergence is not just used to train variational autoencoders or Bayesian networks (and not just a hard-to-pronounce thing). It is a fundamental concept in information theory, put to use in a vast range of applications. Most interestingly, it’s not always about constraint, regularization or compression. Quite on the contrary, sometimes it is about novelty, discovery and surprise

Feb 19, 2020

Allison Horst, Julie Lowndes

R for Excel Users Workshop

Our 2-day intro to becoming a modern R user-full of tidyverse, RMarkdown, GitHub, collaboration & reproducibility

Feb 18, 2020

Data Visualization Workshop at rstudio::conf(2020)

Data Visualization Workshop at rstudio::conf(2020)

What we covered in our rstudio::conf(2020) workshop on data visualization

Kieran Healy

Feb 18, 2020

Building Tidy Tools Workshop at rstudio::conf(2020)

Building Tidy Tools Workshop at rstudio::conf(2020)

A guide to the content and guiding principles of the Building Tidy Tools Workshop

Feb 18, 2020

Introduction to Machine Learning with the Tidyverse

Introduction to Machine Learning with the Tidyverse

Here is your roadmap to our two-day rstudio::conf(2020) introductory workshop on machine learning with the tidyverse and tidymodels

Alison Hill

Feb 14, 2020

Workshop wrap-up from rstudio::conf(2020)

Workshop wrap-up from rstudio::conf(2020)

rstudio::conf(2020) workshop materials now available

Alison Hill

What They Forgot to Teach You About R at rstudio::conf 2020

What They Forgot to Teach You About R at rstudio::conf 2020

Highlights from the What They Forgot to Teach You About R workshop

Kara Woo

Tidy Time Series and Forecasting in R

This is what we covered in the Tidy Time Series workshop at rstudio::conf2020

Rob J Hyndman

Text Mining Workshop Materials from rstudio::conf(2020)

Text Mining Workshop Materials from rstudio::conf(2020)

Check out slides and other materials on text mining and modeling using tidy data principles

Tidy eval now supports glue strings

Use {{ and { with glue strings in tidy eval to create dynamic column names in tidyverse verbs

Feb 11, 2020

themis 0.1.0

themis 0.1.0 is now available on CRAN. Provides additional steps for recipes to deal with unbalanced data

Feb 11, 2020

slider 0.1.0

slider 0.1.0 is now available on CRAN. It provides a family of general purpose sliding window functions

Feb 10, 2020

Instructor Certification Exams

Here are some of the questions we’ve been using in instructor certification exams

Feb 5, 2020

Gestalt Internship

Was working at RStudio as amazing as you think it would be? Yes. And what you get out of it is more than technical training

Daniel Chen

Feb 4, 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

Jan 29, 2020

NumPy-style broadcasting for R TensorFlow users

NumPy-style broadcasting for R TensorFlow users

Broadcasting, as done by Python’s scientific computing library NumPy, involves dynamically extending shapes so that arrays of different sizes may be passed to operations that expect conformity - such as adding or multiplying elementwise. In NumPy, the way broadcasting works is specified exactly; the same rules apply to TensorFlow operations. For anyone who finds herself, occasionally, consulting Python code, this post strives to explain

Jan 24, 2020

vroom 1.1.0

vroom 1.1.0 is now on CRAN!

Jan 15, 2020

First experiments with TensorFlow mixed-precision training

First experiments with TensorFlow mixed-precision training

TensorFlow 2.1, released last week, allows for mixed-precision training, making use of the Tensor Cores available in the most recent NVidia GPUs. In this post, we report first experimental results and provide some background on what this is all about

Jan 13, 2020

Learning R for Software Engineers

My recommended path to learning R, geared toward software engineers

Dec 23, 2019

reticulate 1.14

reticulate 1.14: automatic Python environment configuration for R packages that use Python

Dec 20, 2019

Differential Privacy with TensorFlow

Differential Privacy guarantees that results of a database query are basically independent of the presence in the data of a single individual. Applied to machine learning, we expect that no single training example influences the parameters of the trained model in a substantial way. This post introduces TensorFlow Privacy, a library built on top of TensorFlow, that can be used to train differentially private deep learning models from R

Dec 20, 2019

tfhub: R interface to TensorFlow Hub

TensorFlow Hub is a library for the publication, discovery, and consumption of reusable parts of machine learning models. A module is a self-contained piece of a TensorFlow graph, along with its weights and assets, that can be reused across different tasks in a process known as transfer learning

Dec 18, 2019

hardhat 0.1.0

hardhat 0.1.0 is now available on CRAN. It provides tools for developing new modeling packages, with a focus around preprocessing, predicting, and validating input

Dec 16, 2019

Gaussian Process Regression with tfprobability

Gaussian Process Regression with tfprobability

Continuing our tour of applications of TensorFlow Probability (TFP), after Bayesian Neural Networks, Hamiltonian Monte Carlo and State Space Models, here we show an example of Gaussian Process Regression. In fact, what we see is a rather “normal” Keras network, defined and trained in pretty much the usual way, with TFP’s Variational Gaussian Process layer pulling off all the magic

Dec 10, 2019

Emails from R: Blastula 0.3

Sean Lopp

Dec 5, 2019

odbc 1.2.0

odbc 1.2.0 is now on CRAN. It includes improvements to dealing with schemas, an API for immediate execution, and a new parameter to control timezone outputs

Dec 2, 2019

learnr 0.10.0

learnr 0.10.0: new quiz question types including text boxes and drag-and-drop ranking

Dec 2, 2019

pins 0.3.0: Azure, GCloud and S3

New CRAN release for pins adds support for cloud boards (Azure, Google Cloud and S3), new functions, use cases and many other improvements

Nov 28, 2019

Getting started with Keras from R - the 2020 edition

Getting started with Keras from R - the 2020 edition

Looking for materials to get started with deep learning from R? This post presents useful tutorials, guides, and background documentation on the new TensorFlow for R website. Advanced users will find pointers to applications of new release 2.0 (or upcoming 2.1!) features alluded to in the recent TensorFlow 2.0 post

Nov 27, 2019

RStudio Internships 2020 Preview

RStudio’s internship program will run for the third time in 2020

Nov 25, 2019

tidyverse 1.3.0

tidyverse 1.3.0 is on CRAN, and has a paper in the Journal of Open Source Software! This should make it easier to cite tidyverse packages

Nov 22, 2019

My Experience with RStudio Instructor Training - "[Ted Laderas](http://laderast.github.io/)"

My Experience with RStudio Instructor Training - “ Ted Laderas ”

I recently became a certified RStudio Instructor for both Shiny and the Tidyverse, and thought I would write a little about the experience

Nov 19, 2019

scales 1.1.0

scales 1.1.0 now available on CRAN. It includes a new naming scheme (with breaks_ and labels_ prefixes) and greatly improved documentation

Nov 18, 2019

Variational convnets with tfprobability

In a Bayesian neural network, layer weights are distributions, not tensors. Using tfprobability, the R wrapper to TensorFlow Probability, we can build regular Keras models that have probabilistic layers, and thus get uncertainty estimates “for free”. In this post, we show how to define, train and obtain predictions from a probabilistic convolutional neural network

Nov 13, 2019

roxygen2 7.0.0

A massive update to roxygen2 now on CRAN

Nov 12, 2019

dtplyr 1.0.0

A total rewrite of dtplyr is now available on CRAN; it performs computation lazily (like dbplyr), making it much more performant

Nov 12, 2019

haven 2.2.0

A new version of haven makes it easy to read only parts of a file

Nov 8, 2019

tfprobability 0.8 on CRAN: Now how can you use it?

tfprobability 0.8 on CRAN: Now how can you use it?

Part of the r-tensorflow ecosystem, tfprobability is an R wrapper to TensorFlow Probability, the Python probabilistic programming framework developed by Google. We take the occasion of tfprobability’s acceptance on CRAN to give a high-level introduction, highlighting interesting use cases and applications

Nov 7, 2019

My First Software Engineering Internship

My First Software Engineering Internship

How I went from being an amateur coder to being confident in my software development abilities

Joyce Cahoon

Nov 7, 2019

testthat 2.3.0

testthat 2.3.0: verify_output() for testing printed output and improved parallel testing

Nov 6, 2019

renv: Project Environments for R

Introducing renv: isolated, portable, reproducible R project environments to replace Packrat

Nov 6, 2019

Tidyverse dev day 2020

Join us for tidyverse developer day in San Francisco on January 31, 2020!

Nov 5, 2019

styler 1.2.0

A major update of the styler package is available on CRAN now

Lorenz Walthert

Nov 4, 2019

12 weeks at RStudio

This summer I interned for RStudio’s education team. It was a total departure from my routine as a PhD student, and the perfect brew of the things I enjoy: building stuff, drawing stuff, and teaching stuff

Desirée De Leon

Oct 30, 2019

Workshops at rstudio::conf(2020)

A closer look at rstudio::conf(2020) workshops

Oct 28, 2019

What it Was Like Interning for RStudio

I spent the summer creating lessons to teach data science to software engineers. Here’s what I learned along the way

Yim Register

Oct 25, 2019

Sigrid Keydana, Javier Luraschi

Innocent unicorns considered harmful? How to experiment with GPT-2 from R

Innocent unicorns considered harmful? How to experiment with GPT-2 from R

Is society ready to deal with challenges brought about by artificially-generated information - fake images, fake videos, fake text? While this post won’t answer that question, it should help form an opinion on the threat exerted by fake text as of this writing, autumn 2019. We introduce gpt2, an R package that wraps OpenAI’s public implementation of GPT-2, the language model that early this year surprised the NLP community with the unprecedented quality of its creations

Oct 23, 2019

Tools for Teaching YAML with ymlthis

I spent my summer internship at RStudio trying to reckon with the YAML problem: R Markdown is pretty easy to learn, but students often trip over YAML. Here are some tools to help with teaching this tricky subject

Malcolm Barrett

Oct 18, 2019

discrim 0.0.1

The first version of discrim (0.0.1) is on CRAN

Oct 17, 2019

Shiny 1.4.0

Shiny 1.4.0: trailing commas now work in UI functions like div() and span()

Oct 15, 2019

A Summer of RStudio and ggplot2

This past summer, I had the incredible opportunity to spend the summer as an RStudio intern working with Hadley Wickham on a few new features for the ggplot2 package

Dewey Dunnington

Oct 15, 2019

TensorFlow 2.0 is here - what changes for R users?

TensorFlow 2.0 is here - what changes for R users?

TensorFlow 2.0 was finally released last week. As R users we have two kinds of questions. First, will my keras code still run? And second, what is it that changes? In this post, we answer both and, then, give a tour of exciting new developments in the r-tensorflow ecosystem

Oct 8, 2019

On leapfrogs, crashing satellites, and going nuts: A very first conceptual introduction to Hamiltonian Monte Carlo

On leapfrogs, crashing satellites, and going nuts: A very first conceptual introduction to Hamiltonian Monte Carlo

TensorFlow Probability, and its R wrapper tfprobability, provide Markov Chain Monte Carlo (MCMC) methods that were used in a number of recent posts on this blog. These posts were directed to users already comfortable with the method, and terminology, per se, which readers mainly interested in deep learning won’t necessarily be. Here we try to make up leeway, introducing Hamitonian Monte Carlo (HMC) as well as a few often-heard “buzzwords” accompanying it, always striving to keep in mind what it is all “for”

Oct 3, 2019

dials 0.0.3

A major update to the tuning parameter package

Oct 1, 2019

BERT from R

A deep learning model - BERT from Google AI Research - has yielded state-of-the-art results in a wide variety of Natural Language Processing (NLP) tasks. In this tutorial, we will show how to load and train the BERT model from R, using Keras

Turgut Abdullayev

Sep 30, 2019

Remastering ‘Master the Tidyverse’

Looking for teaching material for intro to #rstats and the #tidyverse? I’ve made mine easier to reuse. Please help yourself!

Sep 26, 2019

devtools 2.2.1

Make package development easier by providing R functions that simplify and expedite common tasks

Sep 26, 2019

Upcoming Instructor Training Events

RStudio’s instructor training and certification program will be running two upcoming online classes in September 2019. We hope you’ll consider joining us

Sep 25, 2019

tidyr 1.0.0

tidyr 1.0.0: pivot_longer() and pivot_wider() replace spread() and gather()

Sep 13, 2019

pins: Pin, Discover and Share Resources

Introducing pins: cache remote resources locally, discover datasets, and share across teams

Sep 9, 2019

Multi Process Task Queue in 100 Lines of R Code

Multi Process Task Queue in 100 Lines of R Code

We use callr::r_session to implement a worker pool and task queue in 100 lines of R code

Sep 9, 2019

Mara Averick, Hadley Wickham

Tidy dev day take two: Toulouse

Reflections on tidyverse dev day at useR! 2019

Sep 6, 2019

Max Kuhn, Edgar Ruiz, Davis Vaughan

tidymodels updates

The latest updates to the tidymodels packages

Sep 5, 2019

pkgdown 1.4.0

pkgdown 1.4.0: deployment vs development modes for building package websites

Sep 5, 2019

So, how come we can use TensorFlow from R?

So, how come we can use TensorFlow from R?

Have you ever wondered why you can call TensorFlow - mostly known as a Python framework - from R? If not - that’s how it should be, as the R packages keras and tensorflow aim to make this process as transparent as possible to the user. But for them to be those helpful genies, someone else first has to tame the Python

Aug 29, 2019

gmailr v1.0.0

gmailr v1.0.0 is on CRAN

Aug 26, 2019

Daniel Falbel, Sigrid Keydana

Image segmentation with U-Net

In image segmentation, every pixel of an image is assigned a class. Depending on the application, classes could be different cell types; or the task could be binary, as in “cancer cell yes or no?”. Area of application notwithstanding, the established neural network architecture of choice is U-Net. In this post, we show how to preprocess data and train a U-Net model on the Kaggle Carvana image segmentation data

Aug 23, 2019

googledrive v1.0.0

googledrive v1.0.0 is on CRAN

Aug 20, 2019

gargle’s debut on CRAN

gargle is now on CRAN

Aug 20, 2019

The Shiny Developer Series

The Shiny Developer Series: video interviews with package authors and advanced Shiny techniques

Curtis Kephart

Aug 5, 2019

Modeling censored data with tfprobability

Modeling censored data with tfprobability

In this post we use tfprobability, the R interface to TensorFlow Probability, to model censored data. Again, the exposition is inspired by the treatment of this topic in Richard McElreath’s Statistical Rethinking. Instead of cute cats though, we model immaterial entities from the cold world of technology: This post explores durations of CRAN package checks, a dataset that comes with Max Kuhn’s parsnip

Jul 31, 2019

ragg 0.1.0

A set of new graphic devices just landed on CRAN. Read more about the ragg package here

Jul 15, 2019

Daniel Falbel, Sigrid Keydana

TensorFlow feature columns: Transforming your data recipes-style

TensorFlow feature columns: Transforming your data recipes-style

TensorFlow feature columns provide useful functionality for preprocessing categorical data and chaining transformations, like bucketization or feature crossing. From R, we use them in popular “recipes” style, creating and subsequently refining a feature specification. In this post, we show how using feature specs frees cognitive resources and lets you focus on what you really want to accomplish. What’s more, because of its elegance, feature-spec code reads nice and is fun to write as well

Jul 9, 2019

callr 3.3.0

callr 3.3.0 is now on CRAN

Jul 8, 2019

dplyr 0.8.3

dplyr 0.8.3 is now on CRAN

Jul 4, 2019

dplyr 0.8.2

dplyr 0.8.2 is now on CRAN

Jun 29, 2019

rlang 0.4.0

rlang 0.4.0 is now on CRAN!

Jun 27, 2019

Dynamic linear models with tfprobability

Dynamic linear models with tfprobability

Previous posts featuring tfprobability - the R interface to TensorFlow Probability - have focused on enhancements to deep neural networks (e.g., introducing Bayesian uncertainty estimates) and fitting hierarchical models with Hamiltonian Monte Carlo. This time, we show how to fit time series using dynamic linear models (DLMs), yielding posterior predictive forecasts as well as the smoothed and filtered estimates from the Kálmán filter

Jun 24, 2019

ggplot2 3.2.0

ggplot2 3.2.0 is now on CRAN!

Jun 16, 2019

Adding uncertainty estimates to Keras models with tfprobability

Adding uncertainty estimates to Keras models with tfprobability

As of today, there is no mainstream road to obtaining uncertainty estimates from neural networks. All that can be said is that, normally, approaches tend to be Bayesian in spirit, involving some way of putting a prior over model weights. This holds true as well for the method presented in this post: We show how to use tfprobability, the R interface to TensorFlow Probability, to add uncertainty estimates to a Keras model in an elegant and conceptually plausible way

Jun 5, 2019

It depends - A dialog about dependencies

It depends - A dialog about dependencies

May 29, 2019

Hierarchical partial pooling, continued: Varying slopes models with TensorFlow Probability

Hierarchical partial pooling, continued: Varying slopes models with TensorFlow Probability

This post builds on our recent introduction to multi-level modeling with tfprobability, the R wrapper to TensorFlow Probability. We show how to pool not just mean values (“intercepts”), but also relationships (“slopes”), thus enabling models to learn from data in an even broader way. Again, we use an example from Richard McElreath’s “Statistical Rethinking”; the terminology as well as the way we present this topic are largely owed to this book

May 24, 2019

Gábor Csárdi, Lionel Henry

Resource Cleanup in C and the R API

How to avoid resource leaks in C code in R packages? Introducing the cleancall package

May 22, 2019

dplyr 0.8.1

dplyr 0.8.1 is now on CRAN

May 17, 2019

forcats 0.4.0

What’s new in forcats 0.4.0?

May 10, 2019

vroom 1.0.0

Introducing the vroom package, extremely fast data import in R

May 7, 2019

Tadpoles on TensorFlow: Hierarchical partial pooling with tfprobability

Tadpoles on TensorFlow: Hierarchical partial pooling with tfprobability

This post is a first introduction to MCMC modeling with tfprobability, the R interface to TensorFlow Probability (TFP). Our example is a multi-level model describing tadpole mortality, which may be known to the reader from Richard McElreath’s wonderful “Statistical Rethinking”

May 6, 2019

Max Kuhn, Davis Vaughan, Alex Hayes

How parsnip works

A look inside of the parsnip package

Apr 30, 2019

dbplyr 1.4.0

dbplyr 1.4.0: simpler SQL generation, better translations, and improved window functions

Apr 30, 2019

Shiny v1.3.2

Shiny 1.3.2: reactlog for visually debugging reactivity and faster static file serving

Apr 26, 2019

Tidyverse dev day at useR! 2019

Join us for a pre-useR! tidyverse developer day on July 8!

Apr 24, 2019

Experimenting with autoregressive flows in TensorFlow Probability

Experimenting with autoregressive flows in TensorFlow Probability

Continuing from the recent introduction to bijectors in TensorFlow Probability (TFP), this post brings autoregressivity to the table. Using TFP through the new R package tfprobability, we look at the implementation of masked autoregressive flows (MAF) and put them to use on two different datasets

Apr 24, 2019

testthat 2.1.0

Highlights include that context() is now optional, and new expect_invisible() and expect_mapequal() expectations

Apr 23, 2019

Auto-Keras: Tuning-free deep learning from R

Auto-Keras: Tuning-free deep learning from R

Sometimes in deep learning, architecture design and hyperparameter tuning pose substantial challenges. Using Auto-Keras, none of these is needed: We start a search procedure and extract the best-performing model. This post presents Auto-Keras in action on the well-known MNIST dataset

Juan Cruz Rodriguez

Apr 16, 2019

usethis 1.5.0

usethis 1.5.0 is now on CRAN

Apr 9, 2019

Getting into the flow: Bijectors in TensorFlow Probability

Getting into the flow: Bijectors in TensorFlow Probability

Normalizing flows are one of the lesser known, yet fascinating and successful architectures in unsupervised deep learning. In this post we provide a basic introduction to flows using tfprobability, an R wrapper to TensorFlow Probability. Upcoming posts will build on this, using more complex flows on more complex data

Apr 5, 2019

R version support

Which versions of R do tidyverse packages support?

Apr 1, 2019

Kirill Müller, Jenny Bryan

tibble 2.1.1

tibble 2.1.1 is on CRAN now! This article describes and motivates the latest minor release of the tibble package

Mar 19, 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

Mar 15, 2019

Math, code, concepts: A third road to deep learning

Math, code, concepts: A third road to deep learning

Not everybody who wants to get into deep learning has a strong background in math or programming. This post elaborates on a concepts-driven, abstraction-based way to learn what it’s all about

Mar 15, 2019

stringr 1.4.0

stringr 1.4.0 is now on CRAN!

Feb 21, 2019

haven 2.1.0

haven 2.1.0 is now on CRAN!

Feb 19, 2019

dplyr 0.8.0

dplyr 0.8.0 is now on CRAN

Feb 15, 2019

bigrquery 1.1.0

bigrquery 1.1.0 is now on CRAN

Feb 15, 2019

Audio classification with Keras: Looking closer at the non-deep learning parts

Audio classification with Keras: Looking closer at the non-deep learning parts

Sometimes, deep learning is seen - and welcomed - as a way to avoid laborious preprocessing of data. However, there are cases where preprocessing of sorts does not only help improve prediction, but constitutes a fascinating topic in itself. One such case is audio classification. In this post, we build on a previous post on this blog, this time focusing on explaining some of the non-deep learning background. We then link the concepts explained to updated for near-future releases TensorFlow code

Feb 7, 2019

rstudio::conf 2019 Workshop materials now available

All 15 workshop materials from rstudio::conf 2019, covering tidyverse, Shiny, R Markdown, and machine learning

Feb 6, 2019

purrr 0.3.0

purrr 0.3.0 is now on CRAN

Feb 6, 2019

Discrete Representation Learning with VQ-VAE and TensorFlow Probability

Discrete Representation Learning with VQ-VAE and TensorFlow Probability

Mostly when thinking of Variational Autoencoders (VAEs), we picture the prior as an isotropic Gaussian. But this is by no means a necessity. The Vector Quantised Variational Autoencoder (VQ-VAE) described in van den Oord et al’s “Neural Discrete Representation Learning” features a discrete latent space that allows to learn impressively concise latent representations. In this post, we combine elements of Keras, TensorFlow, and TensorFlow Probability to see if we can generate convincing letters resembling those in Kuzushiji-MNIST

Jan 24, 2019

tibble 2.0.1

Tibbles are a modern reimagining of the data frame, keeping what time has shown to be effective, and throwing out what is not, with nicer default output too! This article describes the latest major release and provides an outlook on further developments

Kirill Müller

Jan 15, 2019

rlang 0.3.1

rlang 0.3.1 is now on CRAN

Jan 10, 2019

dbplyr 1.3.0

dbplyr 1.3.0 is now on CRAN

Jan 9, 2019

Getting started with TensorFlow Probability from R

Getting started with TensorFlow Probability from R

TensorFlow Probability offers a vast range of functionality ranging from distributions over probabilistic network layers to probabilistic inference. It works seamlessly with core TensorFlow and (TensorFlow) Keras. In this post, we provide a short introduction to the distributions layer and then, use it for sampling and calculating probabilities in a Variational Autoencoder

Jan 8, 2019

vdiffr 0.3.0

vdiffr 0.3.0 is now on CRAN

Jan 3, 2019

haven 2.0.0

haven 2.0.0 is now on CRAN

Jan 2, 2019

readr 1.3.1

readr 1.3.1 is now on CRAN

Dec 27, 2018

textrecipes 0.0.1

textrecipes 0.0.1 is now on CRAN!

Dec 26, 2018

lobstr 1.0.0

lobstr is now on CRAN. lobstr provides tools that allow you to dig into the detail of an object

Dec 21, 2018

readxl 1.2.0

readxl 1.2.0 is now on CRAN

Dec 20, 2018

httr 1.4.0

httr 1.4.0 is now on CRAN!

Dec 18, 2018

Concepts in object detection

As shown in a previous post, naming and locating a single object in an image is a task that may be approached in a straightforward way. This is not the same with general object detection, though - naming and locating several objects at once, with no prior information about how many objects are supposed to be detected. In this post, we explain the steps involved in coding a basic single-shot object detector: Not unlike SSD (Single-shot Multibox Detector), but simplified and designed not for best performance, but comprehensibility

Dec 18, 2018

tidyverse and r-lib: a year in review

A look back on 2018 in the tidyverse and beyond

Dec 17, 2018

pkgdown 1.3.0

pkgdown 1.3.0 is now on CRAN!

Dec 10, 2018

dplyr 0.8.0 release candidate

What you need to know about upcoming changes in dplyr 0.8.0

Dec 3, 2018

Max Kuhn, Davis Vaughan, Alex Hayes

tidymodels package updates

A variety of updates for tidymodels packages

Nov 29, 2018

Tidyverse developer day 2019

Join us for tidyverse developer day on January 19!

Nov 28, 2018

parsnip

A tidy unified interface to models

Nov 28, 2018

Kirill Müller, Jenny Bryan

Coming soon: tibble 2.0.0

The upcoming tibble 2.0.0 release has internal changes relevant to package developers who depend on tibble

Nov 28, 2018

Entity embeddings for fun and profit

Embedding layers are not just useful when working with language data. As “entity embeddings”, they’ve recently become famous for applications on tabular, small-scale data. In this post, we exemplify two possible use cases, also drawing attention to what not to expect

Nov 26, 2018

generics 0.0.1

Reduce package dependencies by using common lightweight S3 generics

Max Kuhn, Davis Vaughan

Nov 14, 2018

Shiny 1.2.0: Plot caching

Shiny 1.2.0: plot caching with renderCachedPlot for dramatically improved performance under load

Nov 13, 2018

You sure? A Bayesian approach to obtaining uncertainty estimates from neural networks

You sure? A Bayesian approach to obtaining uncertainty estimates from neural networks

In deep learning, there is no obvious way of obtaining uncertainty estimates. In 2016, Gal and Ghahramani proposed a method that is both theoretically grounded and practical: use dropout at test time. In this post, we introduce a refined version of this method (Gal et al. 2017) that has the network itself learn how uncertain it is

Nov 12, 2018

Naming and locating objects in images

Object detection (the act of classifying and localizing multiple objects in a scene) is one of the more difficult, but very relevant in practice deep learning tasks. We’ll build up to it in several posts. Here we start with the simpler tasks of naming and locating a single object

Nov 5, 2018

devtools 2.0.0

Make package development easier by providing R functions that simplify and expedite common tasks

Oct 30, 2018

rlang 0.3.0

API for working with tidy evaluation, base R types, and errors

Oct 29, 2018

Mara Averick, Claus Wilke

ggplot2 3.1.0

ggplot2 3.1.0 is now on CRAN!

Oct 29, 2018

Representation learning with MMD-VAE

Like GANs, variational autoencoders (VAEs) are often used to generate images. However, VAEs add an additional promise: namely, to model an underlying latent space. Here, we first look at a typical implementation that maximizes the evidence lower bound. Then, we compare it to one of the more recent competitors, MMD-VAE, from the Info-VAE (information maximizing VAE) family

Oct 22, 2018

Winner takes all: A look at activations and cost functions

Winner takes all: A look at activations and cost functions

Why do we use the activations we use, and how do they relate to the cost functions they tend to co-appear with? In this post we provide a conceptual introduction

Oct 11, 2018

More flexible models with TensorFlow eager execution and Keras

More flexible models with TensorFlow eager execution and Keras

Advanced applications like generative adversarial networks, neural style transfer, and the attention mechanism ubiquitous in natural language processing used to be not-so-simple to implement with the Keras declarative coding paradigm. Now, with the advent of TensorFlow eager execution, things have changed. This post explores using eager execution with R

Oct 2, 2018

sparklyr 0.9: Streams and Kubernetes

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

Oct 1, 2018

Collaborative filtering with embeddings

Embeddings are not just for use in natural language processing. Here we apply embeddings to a common task in collaborative filtering - predicting user ratings - and on our way, strive for a better understanding of what an embedding layer really does

Sep 26, 2018

Image-to-image translation with pix2pix

Conditional GANs (cGANs) may be used to generate one type of object based on another - e.g., a map based on a photo, or a color video based on black-and-white. Here, we show how to implement the pix2pix approach with Keras and eager execution

Sep 20, 2018

Radix for R Markdown

Introducing Radix: an R Markdown format optimized for scientific communication with flexible layouts

Sep 19, 2018

Attention-based Image Captioning with Keras

Attention-based Image Captioning with Keras

Image captioning is a challenging task at intersection of vision and language. Here, we demonstrate using Keras and eager execution to incorporate an attention mechanism that allows the network to concentrate on image features relevant to the current state of text generation

Sep 17, 2018

Getting started with deep learning in R

Resources for getting started with deep learning in R using Keras and TensorFlow

Sep 12, 2018

Neural style transfer with eager execution and Keras

Neural style transfer with eager execution and Keras

Continuing our series on combining Keras with TensorFlow eager execution, we show how to implement neural style transfer in a straightforward way. Based on this easy-to-adapt example, you can easily perform style transfer on your own images

Sep 10, 2018

Getting started with deep learning in R

Many fields are benefiting from the use of deep learning, and with the R keras, tensorflow and related packages, you can now easily do state of the art deep learning in R. In this post, we want to give some orientation as to how to best get started

Sep 7, 2018

processx 3.2.0

Run external processes with processx

Sep 6, 2018

Save the date: tidyverse developer day

Save the date for tidyverse developer day the Saturday following rstudio::conf!

Aug 27, 2018

Generating images with Keras and TensorFlow eager execution

Generating images with Keras and TensorFlow eager execution

Generative adversarial networks (GANs) are a popular deep learning approach to generating new entities (often but not always images). We show how to code them using Keras and TensorFlow eager execution

Aug 26, 2018

scales 1.0.0

scales 1.0.0 is now on CRAN

Dana Seidel

Aug 9, 2018

ggplot2 3.0.0: community posts

Blog posts from the community using ggplot2 3.0.0

Aug 9, 2018

roxygen2 6.1.0

roxygen2 6.1.0 is now on CRAN!

Aug 7, 2018

The tidymodels Package

tidymodels 0.0.1 is on CRAN

Aug 6, 2018

Attention-based Neural Machine Translation with Keras

Attention-based Neural Machine Translation with Keras

As sequence to sequence prediction tasks get more involved, attention mechanisms have proven helpful. A prominent example is neural machine translation. Following a recent Google Colaboratory notebook, we show how to implement attention in R

Jul 30, 2018

The Revamped bookdown.org Website

The revamped bookdown.org website: browse, search, and contribute books written with bookdown

Jul 25, 2018

Tidy evaluation in ggplot2

Using tidy evaluation in ggplot2 3.0.0

Jul 24, 2018

Classifying physical activity from smartphone data

Classifying physical activity from smartphone data

Using Keras to train a convolutional neural network to classify physical activity. The dataset was built from the recordings of 30 subjects performing basic activities and postural transitions while carrying a waist-mounted smartphone with embedded inertial sensors

Jul 17, 2018

broom 0.5.0

broom 0.5.0 is on CRAN

Alex Hayes

Jul 17, 2018

Announcing the R Markdown Book

Announcing R Markdown: The Definitive Guide, a comprehensive book on R Markdown and its extensions

Jul 13, 2018

ggplot2 3.0.0

ggplot2 3.0.0 is on CRAN

Jul 5, 2018

haven 1.1.2

haven 1.1.2 is now on CRAN

Jun 28, 2018

bench 1.0.1

bench 1.0.1 is now available on CRAN. bench allows you to benchmark code, by tracking execution time, memory allocations and garbage collections

Jun 28, 2018

Shiny 1.1.0: Scaling Shiny with async

Shiny 1.1.0: async programming support via future and promises for better scalability under load

Jun 26, 2018

Matt Dancho, Sigrid Keydana

Predicting Sunspot Frequency with Keras

In this post we will examine making time series predictions using the sunspots dataset that ships with base R. Sunspots are dark spots on the sun, associated with lower temperature. Our post will focus on both how to apply deep learning to time series forecasting, and how to properly apply cross validation in this domain

Jun 25, 2018

The tidyverse is for EDA, not packages

Why the tidyverse package shouldn’t be in your dependencies

Jun 20, 2018

Digitally produced spectrogram of a male voice saying `nineteenth century`

Simple Audio Classification with Keras

In this tutorial we will build a deep learning model to classify words. We will use the Speech Commands dataset which consists of 65,000 one-second audio files of people saying 30 different words

Jun 6, 2018

Kirill Müller, Romain François, Hadley Wickham

dplyr 0.7.5

dplyr 0.7.5 has reached CRAN. This is mostly a bugfix release with two important new changes

Jun 6, 2018

pkgdown 1.1.0

pkgdown 1.1.0 is now on CRAN

Jun 5, 2018

conflicted: a new approach to resolving ambiguity

conflicted: a new approach to resolving ambiguity

Jun 2, 2018

ggplot2 2.3.0 — upcoming release

What you need to know about upcoming changes for ggplot2 2.3.0

May 21, 2018

sparklyr 0.8: Production pipelines and graphs

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

Kevin Kuo

May 14, 2018

leaflet 2.0.0

May 10, 2018

pkgdown 1.0.0

May 3, 2018

pillar 1.2.2

pillar 1.2.2 is on CRAN now, losing that extra dot for whole numbers and those extra zeros when there’s nothing more to see. If you still prefer the good old data frame output, this post shows how to get it back for tibbles too

Apr 30, 2018

bigrquery 1.0.0

Apr 24, 2018

readxl 1.1.0

readxl 1.1.0 is now on CRAN

Apr 23, 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

Apr 19, 2018

GPU Workstations in the Cloud with Paperspace

GPU Workstations in the Cloud with Paperspace

If you don’t have local access to a modern NVIDIA GPU, your best bet is typically to run GPU intensive training jobs in the cloud. Paperspace is a cloud service that provides access to a fully preconfigured Ubuntu 16.04 desktop environment equipped with a GPU

Apr 2, 2018

DT 0.4: Editing Tables, Smart Filtering, and More

DT 0.4: editable tables, smart filtering, and shift-click row selection for Shiny apps

Mar 29, 2018

reticulate: R interface to Python

Introducing reticulate: seamless interoperability between R and Python with automatic type conversion

Mar 26, 2018

lime v0.4: The Kitten Picture Edition

A new major release of lime has landed on CRAN. lime is an R port of the Python library of the same name by Marco Ribeiro that allows the user to pry open black box machine learning models and explain their outcomes on a per-observation basis

Mar 9, 2018

rlang 0.2.0

rlang 0.2.0 is on CRAN! This version brings many improvements to tidy evaluation: improved!! syntax and printing of quosures in colours

Mar 2, 2018

pillar 1.2.1

pillar 1.2.1 is on CRAN now, a minor update that tweaks the output of tibbles again

Mar 2, 2018

usethis 1.3.0

usethis 1.3.0 is now on CRAN

Feb 25, 2018

stringr 1.3.0

stringr 1.3.0 is now on CRAN

Feb 22, 2018

forcats 0.3.0

A new version of forcats is now on CRAN

Feb 21, 2018

tidyr 0.8.0

Feb 13, 2018

TensorFlow for R

Tareef Kawaf

Feb 6, 2018

sparklyr 0.7: Spark Pipelines and Machine Learning

sparklyr 0.7: ML Pipelines API for building, tuning, and deploying machine learning workflows at scale

Kevin Kuo

Jan 29, 2018

Deep Learning for Cancer Immunotherapy

The aim of this post is to illustrate how deep learning is being applied in cancer immunotherapy (Immuno-oncology or Immunooncology) - a cancer treatment strategy, where the aim is to utilize the cancer patient’s own immune system to fight the cancer

Leon Eyrich Jessen

Jan 29, 2018

Predicting Fraud with Autoencoders and Keras

Predicting Fraud with Autoencoders and Keras

In this post we will train an autoencoder to detect credit card fraud. We will also demonstrate how to train Keras models in the cloud using CloudML. The basis of our model will be the Kaggle Credit Card Fraud Detection dataset

Jan 25, 2018

tibble 1.4.2

tibble 1.4.2 is on CRAN now, a minor update adding options and improving performance

Jan 24, 2018

Analyzing rtweet Data with kerasformula

The kerasformula package offers a high-level interface for the R interface to Keras. It’s main interface is the kms function, a regression-style interface to keras_model_sequential that uses formulas and sparse matrices. We use kerasformula to predict how popular tweets will be based on how often the tweet was retweeted and favorited

Pete Mohanty

Jan 24, 2018

fs 1.0.0

fs 1.0.0 is now available on CRAN. fs provides a cross-platform, uniform interface to file system operations

Jan 22, 2018

Deep Learning With Keras To Predict Customer Churn

Deep Learning With Keras To Predict Customer Churn

Using Keras to predict customer churn based on the IBM Watson Telco Customer Churn dataset. We also demonstrate using the lime package to help explain which features drive individual model predictions. In addition, we use three new packages to assist with Machine Learning: recipes for preprocessing, rsample for sampling data and yardstick for model metrics

Matt Dancho

Jan 11, 2018

R Interface to Google CloudML

We are excited to announce the availability of the cloudml package, which provides an R interface to Google Cloud Machine Learning Engine. CloudML provides a number of services including on-demand access to training on GPUs and hyperparameter tuning to optimize key attributes of model architectures

Jan 10, 2018

Classifying Duplicate Questions from Quora with Keras

Classifying Duplicate Questions from Quora with Keras

In this post we will use Keras to classify duplicated questions from Quora. Our implementation is inspired by the Siamese Recurrent Architecture, with modifications to the similarity measure and the embedding layers (the original paper uses pre-trained word vectors)

Jan 9, 2018

dbplyr 1.2.0

New version now on CRAN. It features new database backends, an enhanced copy_to(), and initial stringr support

Jan 8, 2018

tibble 1.4.1

Tibbles are a modern reimagining of the data frame, keeping what time has shown to be effective, and throwing out what is not, with nicer default output too! This article showcases the changes in the most recent version

Jan 3, 2018

November/December in the tidyverse

Dec 29, 2017

Word Embeddings with Keras

Word embedding is a method used to map words of a vocabulary to dense vectors of real numbers where semantically similar words are mapped to nearby points. In this example we’ll use Keras to generate word embeddings for the Amazon Fine Foods Reviews dataset

Dec 22, 2017

François Chollet, JJ Allaire

Time Series Forecasting with Recurrent Neural Networks

Time Series Forecasting with Recurrent Neural Networks

In this post, we’ll review three advanced techniques for improving the performance and generalization power of recurrent neural networks. We’ll demonstrate all three concepts on a temperature-forecasting problem, where you have access to a time series of data points coming from sensors installed on the roof of a building

Dec 20, 2017

Lorenz Walthert, Kirill Müller

styler 1.0.0

styler, a package that can format your code according to the tidyverse style guide, is now on CRAN

Dec 20, 2017

testthat 2.0.0

Dec 19, 2017

François Chollet, JJ Allaire

Image Classification on Small Datasets with Keras

Image Classification on Small Datasets with Keras

Having to train an image-classification model using very little data is a common situation, in this article we review three techniques for tackling this problem including feature extraction and fine tuning from a pretrained network

Dec 14, 2017

Project-oriented workflow

Advice on workflows for developing R scripts. How to think about whether an action belongs in the script or elsewhere

Dec 12, 2017

François Chollet, JJ Allaire

Deep Learning for Text Classification with Keras

Deep Learning for Text Classification with Keras

Two-class classification, or binary classification, may be the most widely applied kind of machine-learning problem. In this excerpt from the book Deep Learning with R, you’ll learn to classify movie reviews as positive or negative, based on the text content of the reviews

Dec 7, 2017

usethis 1.0.0 (and 1.1.0)

Nov 28, 2017

pool package on CRAN

pool package: connection pooling for databases in Shiny apps with automatic connection management

Bárbara Borges Ribeiro

Nov 17, 2017

withr 2.1.0

withr 2.1.0 is now available on CRAN

Nov 16, 2017

tidyverse 1.2.0

A new version of the tidyverse package is now on CRAN

Nov 15, 2017

R-Admins Community

Announcing the R-Admins community forum for R administrators working in production environments

Nov 3, 2017

lubridate 1.7.0

A new version of lubridate is on CRAN!

Vitalie Spinu

Nov 1, 2017

glue 1.2.0

glue 1.2.0 is now available on CRAN. glue is designed to make it easy to interpolate (“glue”) your data into strings

Oct 31, 2017

tfruns: Tools for TensorFlow Training Runs

tfruns: Tools for TensorFlow Training Runs

The tfruns package provides a suite of tools for tracking, visualizing, and managing TensorFlow training runs and experiments from R

Oct 4, 2017

RStudio community

RStudio Community forum: a new place to ask questions about tidyverse, Shiny, and more

Sep 14, 2017

Announcing blogdown: Create Websites with R Markdown

Announcing blogdown: create static websites with R Markdown and Hugo

Sep 11, 2017

The summer of ggplot2 - wooooo!

This summer I had the great fortune to accept the ggplot2 internship baton and spend ten weeks developing new features and fixing bugs in ggplot2

Kara Woo

Sep 8, 2017

👩‍💻🚙👯: My googledrive internship

Over the past several months I have been working with Jenny Bryan on the googledrive package. I wanted to share a bit about the process and some things I learned along the way. While brainstorming this post, I went back through my GitHub commits to remind myself of the journey - it turns out they do a rather good job of showing the scope of this!

Lucy DAgostino McGowan

Sep 8, 2017

Keras for R

Introducing Keras for R: a high-level neural networks API for fast deep learning experimentation

Sep 5, 2017

Keras for R

We are excited to announce that the keras package is now available on CRAN. The package provides an R interface to Keras, a high-level neural networks API developed with a focus on enabling fast experimentation

Sep 5, 2017

Erratum tidyr 0.7.0

We have updated tidyselect to revert a behaviour introduced in tidyr 0.7.0

Sep 4, 2017

TensorFlow Estimators

The tfestimators package is an R interface to TensorFlow Estimators, a high-level API that provides implementations of many different model types including linear models and deep neural networks

Yuan Tang

Aug 31, 2017

Shiny Dev Center gets a shiny new update

Shiny Dev Center redesigned: clearer learning paths and updated articles for Shiny developers

Aug 29, 2017

googledrive initial release

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

Aug 29, 2017

tidyr 0.7.0

The next installment of tidyr is finally on CRAN! This version brings tidy eval to a crucial component of the tidyverse workflow

Aug 17, 2017

TensorFlow v1.3 Released

The final release of TensorFlow v1.3 is now available. This release marks the initial availability of several canned estimators including DNNClassifier and DNNRegressor

Aug 17, 2017

Shiny 1.0.4

Shiny 1.0.4: drag-and-drop file inputs, dynamic tab management, and onStop callbacks

Aug 15, 2017

purrr 0.2.3

A new version of purrr is on CRAN! It features a new family of generic mappers, a tool for tidy plucking of deep data structures, and many other features and fixes

Aug 15, 2017

Contributing code to the tidyverse

Contributing code to open source projects can be intimidating. These projects are often widely used and have well known maintainers. Contributing code and having it accepted seems an almost insurmountable task. However if you follow a few simple strategies you can have your code accepted into even the most popular projects in the tidyverse

Aug 14, 2017

sparklyr 0.6: Distributed R and external sources

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

Jul 31, 2017

Welcome!

Welcome to the new and improved tidyverse website. We are working hard to make tidyverse.org the place to go to learn the tidyverse and to keep up to date with it as it evolves

Jul 30, 2017

haven 1.1.0

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

Jul 13, 2017

Introducing learnr

Introducing learnr: create interactive R tutorials with exercises, quizzes, and videos

Jul 11, 2017

dbplyr 1.1.0

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

Jun 27, 2017

bigrquery 0.4.0

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

Jun 26, 2017

dplyr 0.7.0

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

Jun 13, 2017

shinydashboard 0.6.0

shinydashboard 0.6.0: bookmarkable state for sidebars and new inputs for tracking collapsed state

Bárbara Borges Ribeiro

May 18, 2017

readxl 1.0.0

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

Apr 19, 2017

dplyr 0.6.0 coming soon!

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

Apr 13, 2017

tidyverse updates

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

Apr 12, 2017

Shiny 1.0.1

Shiny 1.0.1 adds reactiveVal() for single reactive values and HTML content in radio buttons and checkboxes

Bárbara Borges Ribeiro

Apr 5, 2017

leaflet 1.1.0

leaflet 1.1.0 adds text labels, shape highlighting, awesome-markers, sf support, custom projections, and viridis palettes

Feb 22, 2017

roxygen2 6.0.0

roxygen2 6.0.0 introduces markdown syntax for documentation and improved inheritance with @inherit tags

Feb 1, 2017

xml2 1.1.1

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

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

Jan 24, 2017

Announcing bookdown: Authoring Books and Technical Documents with R Markdown

bookdown extends R Markdown for writing books with cross-references, citations, and multiple output formats

Dec 2, 2016

svglite 1.2.0

svglite 1.2.0 improves font handling with system_fonts and user_fonts arguments, plus text scaling fixes

Nov 14, 2016

ggplot2 2.2.0

ggplot2 2.2.0 adds subtitles and captions, rewrites the facet system, improves theming, and fixes stacking order

Nov 14, 2016

shinythemes 1.1.1

shinythemes 1.1.1 adds new Bootstrap themes from bootswatch.com and a live theme selector for Shiny apps

Oct 13, 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

Oct 4, 2016

ggplot2 2.2.0 coming soon!

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

Sep 30, 2016

sparklyr — R interface for Apache Spark

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

Sep 27, 2016

Shiny Server (Pro) 1.4.6

Shiny Server 1.4.6 includes bug fixes and security mitigations; Pro users on SSL/TLS should upgrade for OpenSSL patches

Sep 22, 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

Sep 15, 2016

Shiny 0.14

Shiny 0.14 adds bookmarkable state, notifications, modal dialogs, insertUI/removeUI, and database connection docs

Sep 12, 2016

forcats 0.1.0

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

Aug 31, 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 29, 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 24, 2016

tidyr 0.6.0

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

Aug 15, 2016

A New Version of DT (0.2) on CRAN

DT 0.2 adds the Buttons extension, row/column/cell selection, and functions to modify tables without rebuilding

Aug 9, 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

Aug 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

Jul 5, 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 27, 2016

tidyr 0.5.0

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

Jun 13, 2016

flexdashboard: Easy interactive dashboards for R

Introducing flexdashboard: create interactive dashboards with R Markdown, htmlwidgets, and optional Shiny components

May 17, 2016

Shiny JavaScript Tutorials

New tutorial series on creating custom JavaScript widgets for Shiny using libraries like c3.js, d3.js, and intro.js

May 6, 2016

ShinyDevCon videos now available

Videos from the 2016 Shiny Developer Conference covering reactive programming, modules, gadgets, and debugging

May 5, 2016

testthat 1.0.0

testthat 1.0.0 adds pipe support, new expectations, consistent side-effect testing, and C++ unit testing with Catch

Apr 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 29, 2016

tibble 1.0.0

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

Mar 24, 2016

R Markdown v0.9.5

R Markdown 0.9.5 adds floating table of contents, code folding, tabbed sections, and five new HTML themes

Mar 21, 2016

R Markdown Custom Formats

Overview of custom R Markdown formats (tufte, rticles, rmdformats) and how to create your own output formats

Mar 21, 2016

R on Travis-CI

Improved R support on Travis-CI with container-based infrastructure, package caching, and multiple R versions

Mar 9, 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

Mar 3, 2016

tidyr 0.4.0

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

memoise 1.0.0

memoise 1.0.0 caches function results with better printing, argument forwarding, and time-based invalidation

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

Devtools 1.10.0

devtools 1.10.0 improves Windows RTools detection, adds use_news_md() and use_mit_license(), with lazy GitHub installs

Shiny 0.13.0

Shiny 0.13.0 introduces Gadgets for interactive tools, HTML templates, modules for managing complexity, and stack traces

Jan 20, 2016

RcppParallel: Getting R and C++ to work (some more) in parallel

RcppParallel provides portable parallel C++ algorithms using Intel TBB or TinyThread, achieving 200-300x speedups

Jan 15, 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

Jan 6, 2016

ggplot 2.0.0

ggplot2 2.0.0: official extension mechanism, new geoms (geom_count, geom_curve, geom_label), appearance tweaks, and facet labels

Dec 21, 2015

svglite 1.0.0

svglite produces compact, web-optimized SVG graphics from R, with smaller file sizes and faster rendering than base R’s svg() device

Dec 10, 2015

Shiny Developer Conference | Stanford University | January 2016

Announcing the first Shiny Developer Conference at Stanford, January 2016, for developers ready to build performant, robust Shiny apps

Oct 29, 2015

roxygen2 5.0.0

roxygen2 5.0.0 adds RoxygenNote for version tracking, easier package documentation, and support for documenting re-exported functions

Oct 29, 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

Oct 28, 2015

testthat 0.11.0

testthat 0.11.0 adds expect_silent() for checking no output/warnings, skip_on_os() and skip_on_appveyor(), plus random encouragement

Oct 15, 2015

purrr 0.1.0

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

Sep 29, 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 24, 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 13, 2015

devtools 1.9.1

devtools 1.9.1 adds remote dependencies via DESCRIPTION’s Remotes field, improved GitHub integration, and better revdep_check()

Sep 13, 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)

Sep 4, 2015

New R Markdown articles section, plus.Rmd to.docx super powers!

New R Markdown articles section launched with tips for Word output: styles, margins, tables, and bibliographies

Jul 22, 2015

Article Spotlight: Persistent data storage in Shiny apps

Article spotlight: Dean Attali explains how to save Shiny app data to local files, databases, and cloud storage for persistence

Jul 15, 2015

Accelerating R: RStudio and the new R Consortium

RStudio joins the new R Consortium alongside Microsoft, Google, and Oracle to fund and inspire R’s future development

Jun 30, 2015

Leaflet: Interactive web maps with R

Create interactive web maps in R with leaflet: markers, polygons, popups, GeoJSON support, and seamless Shiny integration

Jun 24, 2015

DT: An R interface to the DataTables library

DT brings DataTables to R: sortable, filterable, paginated HTML tables with column formatting and Shiny integration

Jun 24, 2015

d3heatmap: Interactive heat maps

d3heatmap creates interactive heat maps with D3.js: zoom by dragging, highlight rows/columns on click, hover to see values

Jun 24, 2015

New Shiny cheat sheet and video tutorial

New free Shiny video tutorial (2.5 hours) and updated cheat sheet covering app architecture, reactivity, inputs, layouts, and CSS

Jun 22, 2015

Shiny 0.12: Interactive Plots with ggplot2

Shiny 0.12 adds interactive plots for base graphics and ggplot2: capture mouse clicks, hovers, and brushes to select points

Jun 16, 2015

testthat 0.10.0

testthat 0.10.0 improves R CMD check output, adds skip_if_not_installed(), and soft-deprecates expect_that() style

May 29, 2015

SparkR preview by Vincent Warmerdam

Guest tutorial: Get started with SparkR for distributed computing—install locally, run map/reduce operations, and deploy on AWS

May 28, 2015

devtools 1.8.0

devtools 1.8 adds use_git(), use_test(), dr_devtools(), and better dependency management with package_deps()

May 11, 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

May 5, 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

Apr 21, 2015

Get data out of excel and into R with readxl

readxl reads both.xls and.xlsx files with no external dependencies. Fast, handles dates, and auto-drops blank columns

Apr 15, 2015

Interactive time series with dygraphs

dygraphs brings interactive time series charts to R: pan, zoom, highlight, annotate, and embed in R Markdown or Shiny

Apr 14, 2015

readr 0.1.0

Introducing readr: read CSV, TSV, and fixed-width files 10x faster than base R, with automatic type detection and no stringsAsFactors

Apr 9, 2015

Design patterns for action buttons

New Shiny article: five design patterns for action buttons using observeEvent() and eventReactive()

Apr 7, 2015

Data Visualization cheatsheet, plus Spanish translations

New ggplot2 cheatsheet covering geoms, stats, scales, facets, and themes—plus Spanish translations of other cheatsheets

Mar 30, 2015

Package Development cheatsheet, plus Chinese translations

New devtools cheatsheet for building R packages: structure, DESCRIPTION, roxygen docs, tests, and vignettes—plus Chinese translations

Mar 12, 2015

haven 0.1.0

haven reads SAS, SPSS, and Stata files into R, including SAS7BDAT and Stata 13 formats, with labelled variable support

Mar 4, 2015

Epoch.com sponsors RMySQL development

Epoch.com sponsors RMySQL development, enabling improved build systems and CRAN binaries for all platforms

Feb 11, 2015

Shiny 0.11, themes, and dashboard

Shiny 0.11 migrates to Bootstrap 3, adds improved sliders, passwordInput(), observeEvent(), plus new shinythemes and shinydashboard packages

Jan 23, 2015

RMySQL 0.10.0

RMySQL 0.10.0 adds CRAN binaries for Windows/Mac, transaction support, and DBI 0.3 compatibility

Jan 9, 2015

ggplot2 updates

ggplot2 hits 1.0.0—a mature, stable release. Second edition of the ggplot2 book is in progress

Jan 9, 2015

dplyr 0.4.0

dplyr 0.4.0 adds full SQL-style joins, bind_rows/bind_cols, data_frame(), list-columns, and improved printing

Jan 9, 2015

htmlwidgets: JavaScript data visualization for R

Introducing htmlwidgets: bring JavaScript visualization libraries to R. Works in console, R Markdown, and Shiny

Dec 18, 2014

httr 0.6.0

httr 0.6.0 adds handle_reset(), streaming with write_stream(), custom HTTP verbs, and Google OAuth2 service accounts

Dec 14, 2014

tidyr 0.2.0 (and reshape2 1.4.1)

tidyr 0.2.0 adds expand() for filling missing combinations, unnest() for list-columns, and better separate() control

Dec 8, 2014

magrittr 1.5

magrittr 1.5 adds functional sequences (define functions with pipes), lambda syntax with braces, and %T>%, %$%, %<>% operators

Dec 1, 2014

rvest: easy web scraping with R

Introducing rvest: scrape web data with CSS selectors or XPath, extract text/tables, and navigate sites with sessions

Nov 24, 2014

Introduction to Data Science with R video workshop

New 8-hour video course from RStudio and O’Reilly covering R programming, data manipulation, visualization, and modeling

Nov 6, 2014

RSQLite 1.0.0

RSQLite 1.0.0 cleans up the API, adds initExtension() for useful functions, and improves transaction handling

Oct 25, 2014

ggvis 0.4

ggvis 0.4 adds layer_boxplots(), better error handling, and more reliable interactive graphics with dynamic data

Oct 13, 2014

dplyr 0.3

dplyr 0.3 adds distinct(), slice(), rename(), transmute(), count(), data_frame(), flexible joins, and set operations

Oct 13, 2014

Shiny 0.10.2

Shiny 0.10.2 adds single-file apps (app.R), progress bars, IE 8/9 file uploads, and upgrades DataTables to 1.10

Oct 2, 2014

devtools 1.6

devtools 1.6 improves install_github(), adds session_info(), and introduces use_data(), use_testthat(), use_travis() helpers

Oct 2, 2014

testthat 0.9

testthat 0.9 adds skip() and skip_on_cran(), describe() for BDD-style tests, with_mock() for mocking, and reference comparisons

Sep 23, 2014

Track how visitors use your Shiny app with Google Analytics

New article: track visitors and usage patterns in your Shiny apps using Google Analytics and jQuery

Sep 8, 2014

Packrat on CRAN

Packrat 0.4.1 hits CRAN with local repository support, experimental package caching, and Windows improvements

Sep 5, 2014

httr 0.5

httr 0.5 adds write_disk() to save response bodies directly to disk, plus preliminary HTTP caching support

Sep 3, 2014

The R Markdown Cheat Sheet

New R Markdown cheat sheet: render reports to PDF, HTML, or Word, embed R code, and create interactive documents

Aug 1, 2014

Shiny 0.10.1

Shiny 0.10.1 adds full Unicode support on Windows, ‘user/repo’ syntax for runGitHub(), and inline output options

Aug 1, 2014

httr 0.4

httr 0.4 adds quick start and API package vignettes, headers()/cookies() extractors, encode argument, and progress bars

Jul 31, 2014

New data packages

Four new data packages: babynames, fueleconomy, nasaweather, and nycflights13—large datasets for learning data analysis

Jul 23, 2014

Introducing tidyr

Introducing tidyr: reshape messy data with gather() (wide to long), separate() (split columns), and spread() (long to wide)

Jul 22, 2014

Announcing Packrat v0.4

Packrat 0.4 adds automatic snapshots, bundle/unbundle for sharing, on/off mode, and RStudio IDE integration

Jul 22, 2014

Master interactive documents at the Shiny Dev Center

New Shiny Dev Center articles: create interactive documents and slideshows by embedding Shiny in R Markdown

Jul 21, 2014

Shiny cheat sheet

New Shiny cheat sheet: quick reference for app structure, reactive foundations, layouts, and deployment

Jun 30, 2014

Introducing ggvis

Introducing ggvis: grammar of graphics meets interactivity. Create reactive, browser-rendered plots with Shiny integration

Jun 23, 2014

Shiny 0.10

Shiny 0.10 adds interactive document support, flowLayout/splitLayout, validate/need for errors, and server-side selectize

Jun 20, 2014

Interactive documents: An incredibly easy way to use Shiny

Interactive documents: embed Shiny widgets in R Markdown for live, interactive reports—no separate server.R/ui.R needed

Jun 19, 2014

R Markdown v2

R Markdown v2: Pandoc-powered output to PDF, Word, HTML, and slides. Citations, tables, footnotes, and custom templates

Jun 18, 2014

Comment sections and help instructions at the Shiny Dev Center

Shiny Dev Center adds Disqus comments on all articles and a new guide on getting help with Shiny

May 28, 2014

dplyr 0.2

dplyr 0.2 imports %>% from magrittr, overhauls do() for list-columns, and adds sample_n(), summarise_each(), glimpse()

May 21, 2014

roxygen2 4.0.1

roxygen2 4.0.1 adds strict parsing with line numbers in errors, new vignettes, and safe file management

May 19, 2014

reshape2 1.4; Kevin Ushey joins Rstudio

reshape2 1.4 gets a C++ melt() for 10x speedup. Also: Kevin Ushey joins RStudio

May 9, 2014

New Shiny article: Style your apps with CSS

New article: customize your Shiny app’s appearance using CSS files and inline styles

May 7, 2014

devtools 1.5

devtools 1.5 adds add_test_infrastructure(), add_travis(), add_rstudio_project() and safer install_github()

Apr 8, 2014

New Shiny website launched; Shiny 0.9 released

Shiny Dev Center launches at shiny.rstudio.com. Shiny 0.9 adds grid layouts, navbar pages, selectize inputs, and showcase mode

Mar 27, 2014

httr 0.3

httr 0.3 overhauls OAuth with caching and improved authentication. Query web APIs easily from R

Mar 21, 2014

dplyr 0.1.3

dplyr 0.1.3 fixes Rcpp compatibility and several bugs that caused R crashes

Mar 16, 2014

testthat 0.8 (and 0.8.1)

testthat 0.8 moves tests to tests/testthat/, adds line numbers in errors, and four new expectations

Feb 25, 2014

dplyr 0.1.2

dplyr 0.1.2 improves select() with starts_with(), ends_with(), contains(), and named arguments for renaming

Feb 25, 2014

roxygen2 3.1.0

roxygen2 3.1.0 automatically documents reference class methods from docstrings

Jan 30, 2014

dplyr 0.1.1

dplyr 0.1.1 fixes crash bugs, adds sort argument to tally(), and renames explain_tbl() to explain()

Jan 30, 2014

Introducing dplyr

dplyr: a new package for fast data manipulation with a consistent API that works on local data frames and remote databases

Jan 17, 2014

roxygen2 3.0.0

roxygen2 3.0.0 adds seamless S4 and RC class documentation, smarter S3 handling, and safer roxygenise()

Dec 9, 2013

Shiny Server 0.4

Shiny Server 0.4 brings pre-built installers for Ubuntu and RedHat, plus a beta of Shiny Server Pro

Dec 3, 2013

devtools 1.4 now available

devtools 1.4 adds automated vignette building and a simpler install_github() syntax

Nov 27, 2013

Shiny 0.8.0 released; Yihui Xie joins RStudio

Shiny 0.8.0 adds DataTables support and visual debugging tools. Also: Yihui Xie joins RStudio!

Nov 15, 2013

Announcing Packrat

Packrat: a new tool for reproducible package management that keeps dependencies private to each project

Jonathan McPherson

Nov 14, 2013

The RStudio CRAN mirror

The RStudio CRAN mirror uses CloudFront for fast global downloads, plus anonymized log data is now public

Jun 10, 2013

Version 1.2 of devtools released

devtools 1.2 speeds up installation, supports R 3.0 vignettes, and adds sha verification for source_url()

Apr 17, 2013

Shiny 0.4.0 now available

Shiny 0.4.0 simplifies the reactive API and suspends invisible outputs to reduce server load

Feb 22, 2013

Shiny 0.3.0 released

Shiny 0.3.0 improves reactive scheduling efficiency and adds runGitHub() for running apps from GitHub

Jan 25, 2013

Version 1.0 of devtools released!

devtools 1.0 adds S4 and Rcpp support plus much better Rtools detection on Windows

Jan 23, 2013

Shiny Server now available

Shiny Server public beta: host multiple Shiny apps on Linux and share them over the web

Jan 22, 2013

ggplot2 0.9.3 and plyr 1.8 have been released!

ggplot2 0.9.3 fixes bugs and adds stat warnings; plyr 1.8 brings sequential summarise() and.paropts

Dec 6, 2012

An update on Shiny

Shiny 0.2.3 adds file downloads; plus a preview of the upcoming free, open-source Shiny Server

Dec 4, 2012

Introducing Shiny: Easy web applications in R

Introducing Shiny: a new R package that makes it simple to build interactive web applications

Nov 8, 2012

New version of httr: 0.2

httr 0.2: an easier way to work with web APIs, with HTTP verbs, OAuth 1.0/2.0, and automatic cookie handling

Oct 14, 2012

lubridate 1.2.0 now on CRAN

lubridate 1.2.0 is 50x faster at parsing dates, adds stamp() for custom formatting, and %m+% for safe month math

Oct 8, 2012

Where in the world is R and RStudio

Maps visualizing where RStudio is downloaded around the world and across the US, based on web logs

Oct 1, 2012

New version of devtools: 0.8

devtools 0.8 rewrites load_all() for better namespace simulation and adds support for C/C++ code and GitHub PRs

Sep 16, 2012

ggplot2 0.9.2 has been released!

ggplot2 0.9.2 overhauls the theming system: opts() becomes theme(), theme_() becomes element_()

Sep 7, 2012

Announcing RPubs: A New Web Publishing Service for R

Announcing RPubs: a free service to publish R Markdown documents to the web directly from RStudio

Jun 4, 2012

MathJax Syntax Change

R Markdown MathJax syntax changes: equations now use $latex...$ to avoid parsing ambiguities

May 25, 2012

NYC Meetup: What’s Next for R Markdown

Join us June 5th in NYC for a meetup on R Markdown with Yihui Xie and Jeff Horner

May 24, 2012

R Events#

AI in Production

The first Jumping Rivers AI in Production will delve into the world of AI and Machine Learning

Newcastle Upon Tyne, UK

Jun 4-5, 2026

chatlas ellmer Shiny vitals

Cascadia R 2026

Cascadia R Conference is an R conference serving the Pacific Northwest (OR/WA/BC)

Data Science & AI Conference 2025

Presented by Lander Analytics, the Data Science & AI Conference brings together top data scientists, AI researchers, and industry leaders from the private and public sectors

New York, NY, USA

Aug 26-27, 2025

posit::conf(2025)

Our annual event brought together data enthusiasts, professionals, developers, and innovators for an unforgettable three days of learning, connection, and inspiration

Atlanta, GA, USA

Sep 16-18, 2025

R Exchange 2026

Established in 2020, R Exchange provides a regional opportunity for open-source data science enthusiasts from a variety of disciplines to connect and learn from each other

Wellington, New Zealand

May 7, 2026

Positron

ellmer pointblank Quarto renv

R/Medicine 2025

The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data

Virtual

Jun 9-13, 2025

ellmer Great Tables Quarto pointblank Positron Shiny shinylive vitals

R/Medicine 2026

The R/Medicine conference provides a forum for sharing R based tools and approaches used to analyze and gain insights from health data

R/Pharma 2025

R/Pharma is a scientifically & industry oriented online conference focused on the use of R in the development of pharmaceuticals

Virtual

Nov 3-7, 2025

rainbowR 2026

The inaugural rainbowR virtual conference brought together LGBTQIA+ users of R, and their allies, to promote their work

Rencontres R 2026

The Recontres R conference provides the French-speaking community with a venue for exchanging ideas regarding the use of the R language across all disciplines

SDSS Symposium on Data Science and Statistics 2026

The Symposium on Data Science and Statistics provides a unique opportunity for data scientists, computer scientists, and statisticians to come together and exchange ideas

Shiny in Production 2025

Hosted in the centre of Newcastle Upon Tyne, UK, this conference delves into the world of {shiny} and other web-focused R packages

Newcastle Upon Tyne, UK

Oct 8-9, 2025

Shiny

ShinyConf 2025

ShinyConf is the biggest virtual Shiny event hosted by Appsilon

The Use of R in Official Statistics 2026

The annual conference on the Use of R in Official Statistics

Paris, France

Nov 18-20, 2026

useR! 2025

useR! 2025 brings together R users, developers, and enthusiasts from around the world for three days of tutorials, presentations, and networking

Durham, NC, USA

Aug 8-10, 2025

ellmer Positron Shiny