Videos of talks from posit::conf(2025) are posted, and you can find them all here!
At posit::conf(2025) we hosted two Quarto workshops: Branded Websites, Presentations, Dashboards, and PDFs with Quarto; and Extending Quarto. The materials from both workshops are freely available for anyone to learn from or use in their own teaching
Tips and recommendations for learning the tidyverse with AI tools
Use Positron's integrated color picker for an easy way to choose colors for your next project's `_brand.yml`
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
Build a personal website with Quarto by following this four-part video series on YouTube
Learn how to build a Quarto dashboard with a three-part video series
Videos of talks from posit::conf(2024) are posted, we've compiled a playlist of Quarto talks for you!
Back in August, we hosted three Quarto workshops at posit::conf(2024); the materials from those workshops are available to learn and teach from!
On August 12, we're hosting a day of workshops featuring three dedicated to Quarto at posit::conf(2024) in Seattle
Recent releases integrate survival analysis into tidymodels. This now unlocks the framework for censored regression and provides modeling capabilities for time-to-event data
R/Medicine webinar on Quarto manuscripts
Recent tidymodels releases integrated a set of tools for assessing whether machine learning models treat groups of people differently
Series of workshops for learning Quarto with R and RStudio, aimed primarily at R Markdown users
Recommendations for teaching the tidyverse in 2023, summarizing package updates most relevant for teaching data science with the tidyverse, particularly to new learners
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
The second edition of R for Data Science is out, and it's a major reworking of the first edition
How to use `purrr::walk()` to write many files, featuring file-system navigation with the fs package
A video highlighting some of Quarto's features that are especially useful for academics, as educators and as researchers
A new video for getting started with Quarto using R and RStudio
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
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
Davis Vaughan's talk from rstudio::conf(2022) on clock, an R package that aims to provide comprehensive and safe handling of date-times
A workflow for upgrading to testthat edition 3: activation, deprecations, changes to warnings, messages, and comparisons
We are renaming the default branch of many Git(Hub) repositories and this post explains how contributors can adapt, using new functionality in usethis
The cpp11 summer intern reviews the process they used to convert readxl to using cpp11
Recommendations for teaching the tidyverse in 2021, summarizing package updates most relevant for teaching data science with the tidyverse, particularly to new learners
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!
A mentorship experience during undergrad opens up opportunities for learning about text analysis, as well as meta-skills like debugging and reproducibility
The birth and growth of MetaDocencia in Latin America to nurture a community of Spanish-speaking educators in 2020 and beyond
Sparse data is common in many domains, and now tidymodels supports using sparse matrix structures throughout the fitting and tuning stages of modeling
Learn, celebrate, and amplify Black voices in informatics, data science, and coding around the world
We're Learning Too
This October, help us expand an open source, multilingual glossary of data science terms
Solutions to the exercises in *Mastering Shiny* are being assembled online
Learn how to control scaling of the content in your plot when you render plots to different sizes
An open source multilingual glossary of data science terms
The palmerpenguins data package is now on CRAN! Here are some examples to highlight why it is a great replacement for the iris dataset
The gtsummary package is for making beautiful summary tables with R, in R Markdown documents
A tour of the rstudio::conf() workshop 'My Organization’s First R Package'
Synopsis of the two-day rstudio::conf(2020) workshop on deep learning
How and why we built free online interactive courses for learning R
A collection of new + free + online learning resources for R and Python users
A wild romp through environments -- namely, the environments associated with functions and tests. How to adopt a low-impact lifestyle
We're thrilled to announce the launch of tidymodels.org! The site is a central location for learning and using the tidymodels packages
Tips for making a new cheatsheet
Our experience (re-)building the R bootcamp and generating interactive R tutorials
Our 2-day intro to becoming a modern R user-full of tidyverse, RMarkdown, GitHub, collaboration & reproducibility
What we covered in our rstudio::conf(2020) workshop on data visualization
A guide to the content and guiding principles of the Building Tidy Tools Workshop
Here is your roadmap to our two-day rstudio::conf(2020) introductory workshop on machine learning with the tidyverse and tidymodels
rstudio::conf(2020) workshop materials now available
Highlights from the What They Forgot to Teach You About R workshop
This is what we covered in the Tidy Time Series workshop at rstudio::conf2020
Check out slides and other materials on text mining and modeling using tidy data principles
My recommended path to learning R, geared toward software engineers
A closer look at rstudio::conf(2020) workshops
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
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!
