Garrick Aden-Buie

Shiny

Easy interactive web applications with R

Quarto

Open-source scientific and technical publishing system built on Pandoc

rmarkdown

Dynamic Documents for R

shiny-examples

blogdown

Create Blogs and Websites with R Markdown

Shiny for Python

Easy interactive web applications with Python

plumber

Turn your R code into a web API

renv

renv: Project environments for R

R/Pharma 2025

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

Complete chat applications in shinychat: R 0.5.0 and Python 0.7.1

shinychat v0.5.0 for R and v0.7.1 for Python make it easier to build complete, conversation-centered Shiny chat applications with history, editing, branching, greetings, suggestions, citations, tool displays, and more

Garrick Aden-Buie, Carson Sievert

Data Science Side Projects | Dylan Poulsen, Libby Heeren, Isabella Velasquez | Data Science Lab

The Data Science Lab is a live weekly call. Register at pos.it/dslab! Discord invites go out each week on lives calls. We’d love to have you! The Lab is an open, messy space for learning and asking questions. Think of it like pair coding with a friend or two. Learn something new, and share what you know to help others grow. On this call, Libby Heeren is joined by Dylan Poulsen and Isabella Velásquez for a community project showcase, where each host shares a passion project they made just for the joy of it. Dylan tells the story of the “onion constant,” the recreational math he did to find the mathematically optimal way to cut an onion, which somehow ended up in the New York Times, The Pudding, and on Hacker News Libby shares the year-and-a-half journey of building her Ellsworth Kelly-inspired Shiny app in R (mess and mistakes included) as a love letter to working out loud. And Isabella walks through how she and her brother ported their favorite RStudio theme into a Positron color theme. This is a celebration of doing things for fun, sharing your work before it’s fully polished, and the community that we share it with! Hosting crew from Posit: Libby Heeren, Isabella Velasquez Dylan Poulsen’s GitHub: drspoulsen.github.io Dylan Poulsen’s Mastodon: https://mathstodon.xyz/@dpoulsen Dylan Poulsen’s LinkedIn: https://www.linkedin.com/in/drspoulsen/ Resources mentioned in the video and chat: Dylan’s Onion Constant slides: https://dylanpoulsen.com/Onion_Marp/index.html Kenji López-Alt’s Instagram post (the original onion problem): https://www.instagram.com/p/CV6L30MBFy8 Kenji López-Alt “The Mathematically Best Way to Cut an Onion” (YouTube): https://www.youtube.com/watch?v=rkMldsRcx0E New York Times: How to Cut an Onion: https://www.nytimes.com/article/how-to-cut-onion.html The Pudding: Dicing an Onion, the Mathematically Optimal Way: https://pudding.cool/2025/08/onions/ Dylan’s paper in Mathematics Magazine: https://www.tandfonline.com/doi/full/10.1080/0025570X.2025.2521248 Jacobian matrix and determinant (Wikipedia): https://en.wikipedia.org/wiki/Jacobian_matrix_and_determinant Coefficient of variation (Wikipedia): https://en.wikipedia.org/wiki/Coefficient_of_variation Libby’s Ellsworth Kelly Shiny app: https://libbyheeren-ellsworth.share.connect.posit.cloud/ Libby’s blog: https://libbyheeren.com/blog Ellsworth Kelly: Spectrum Colors Arranged by Chance: https://ellsworthkelly.org/work/spectrum-colors-arranged-by-chance/ Ellsworth Kelly at MoMA: https://www.moma.org/artists/3048-ellsworth-kelly “Subtract” book by Leidy Klotz: https://www.amazon.com/Subtract-Untapped-Science-Leidy-Klotz/dp/1250249872 Isabella’s blog: Porting my RStudio theme to Positron: https://ivelasq.rbind.io/blog/positron-theme/ Tomorrow Night Bright R Classic (Positron/VS Code theme): https://open-vsx.org/extension/gvelasq/tomorrow-night-bright-r-classic Tomorrow Night Eighties R Classic by Shelby Level: https://open-vsx.org/extension/shelbylevel/tomorrow-night-eighties-r-classic rsthemes by Garrick Aden-Buie: https://github.com/gadenbuie/rsthemes Quarto Preview Colour extension by Mickaël Canouil: https://github.com/mcanouil/quarto-preview-colour System Color Picker for Mac: https://apps.apple.com/us/app/system-color-picker/id1545870783 ► Subscribe to Our Channel Here: https://bit.ly/2TzgcOu Follow Us Here: Website: https://www.posit.co Hangout: https://pos.it/dsh The Lab: https://pos.it/dslab LinkedIn: https://www.linkedin.com/company/posit-software Bluesky: https://bsky.app/profile/posit.co Thanks for hanging out with us! Timestamps 00:00 Introduction 02:02 The story of the onion constant 08:46 “If you have a link to that paper, it went over my head, but other people would like to see it.” 10:35 Demoing the onion constant code in Positron 12:35 “How did it feel to figure this out post that New York Times article?” 15:02 “Do you think you have enough numbers to your decimal for accuracy?” 15:08 “Is it transcendental?” 16:04 “Do you think this problem could be approached using complex numbers?” 16:24 “What’s that character for the onion constant?” 16:42 “What if you minimized the coefficient of variation in the surface area of the pieces?” 18:56 The story of the Ellsworth app 30:14 “Do you think these handwritten notes are valuable in today’s age of AI?” 32:06 Demoing the Ellsworth app 35:08 “Is it published?” 38:23 Creating a theme for Positron 39:18 Demoing how to install a theme in Positron 41:20 Demoing how to convert an RStudio theme to a TM Theme 43:49 Demoing how to start an extension with YoCode 46:01 Demoing editing the color theme JSON file 48:58 “Can you show that one more time?” 51:01 Publishing themes to the VS Code and Open VSX marketplaces 52:35 “Why Neovim instead of Positron to build a Positron theme?” 53:07 “Does the editor background have transparency to see your desktop?” 53:58 “Do you know if it happens to work in other files?”

Garrick Aden-Buie, Isabella Velásquez

What are AI agent skills? How do I use them? | Garrick Aden-Buie | Data Science Lab

The Data Science Lab is a live weekly call. Register at pos.it/dslab! Discord invites go out each week on lives calls. We’d love to have you! The Lab is an open, messy space for learning and asking questions. Think of it like pair coding with a friend or two. Learn something new, and share what you know to help others grow. On this call, Libby Heeren is joined by Garrick Aden-Buie, who walks through what AI agent skills are, how they work, and how to create your own. Garrick explains agent skills by starting with the basics: how we interact with large language models, what system prompts are, and how skills dynamically load instructions when needed. He demonstrates several practical skills, including skills for Shiny development with bslib and a skill that automates pull request creation workflows. Then, live during the session, Garrick creates a new skill from scratch that generates alt text for data visualizations using best practices from accessibility experts. Hosting crew from Posit: Libby Heeren, Isabella Velasquez Garrick Aden-Buie’s GitHub: https://github.com/gadenbuie Garrick Aden-Buie’s Bluesky: https://bsky.app/profile/garrickadenbuie.com Garrick Aden-Buie’s LinkedIn: https://www.linkedin.com/in/garrick-aden-buie/ Resources mentioned in the video and chat: Agent Skills website: https://agentskills.io/ Agent Skills directory: https://skills.sh/ Elmer R package for interacting with LLM APIs: https://ellmer.tidyverse.org/ Caveman skill: https://github.com/JuliusBrussee/caveman Posit-dev skills repository: https://github.com/posit-dev/skills Garrick’s ds-lab-agent-skills demo repository: https://github.com/gadenbuie/ds-lab-agent-skills btw R package for connecting R and LLMs: https://posit-dev.github.io/btw/ Christopher Kenny’s Awesome R Skills repo: https://github.com/christopherkenny/awesome-rstats-skills Cat Hicks’ learning opportunities skills: https://github.com/DrCatHicks/learning-opportunities Amy Cesal’s article on writing alt text for data visualizations: https://medium.com/nightingale/writing-alt-text-for-data-visualization-2a218ef43f81 bslib R package for modern Shiny UI: https://rstudio.github.io/bslib/ ► Subscribe to Our Channel Here: https://bit.ly/2TzgcOu Follow Us Here: Website: https://www.posit.co Hangout: https://pos.it/dsh The Lab: https://pos.it/dslab LinkedIn: https://www.linkedin.com/company/posit-software Bluesky: https://bsky.app/profile/posit.co Thanks for hanging out with us! 00:00 Introduction 01:43 “Are skills solely for Claude code or are they applicable in all contexts?” 04:16 Demoing the elmer R package for interacting with large language models 05:13 “What are agent skills?” 06:59 “How do I how do I make a skill?” 07:49 Demoing how to use a system prompt 10:55 Demoing the caveman skill markdown file 14:28 “If I have access to Positron Assistant using GitHub Copilot, does that mean that I can use Elmer without an API key?” 15:46 “Can the instructions be more than just strings? Are there other types of sources like JSON or CSV that can be used to learn other skills?” 18:57 “What are the examples in which you use skills?” 19:37 Demoing the posit skills repository 20:22 Demoing the Shiny BSLib skill 25:19 “Is there anything like that with agents skills so that we can look up the top trending or used skills so that we know what’s already out there?” 25:34 “Wondering what you use to keep up with the latest.” 25:41 Demoing the skills.sh website to find skills 28:00 “Should we really trust these random skills?” 28:22 “What tool do you use to downloadmanage or sync skills from various sources?” 28:44 Demoing how to install skills using npx 30:36 Demoing how to install skills using the BTW R package 31:53 “Is a boundaries section standard for the skills.md file? And what practical implications does that have?” 32:55 “Are skills almost a way to give agents info about topics in a lesser version of using RAG?” 34:57 Demoing the PR create workflow skill 37:38 Demoing building a skill from scratch 41:12 Demoing using slash commands to invoke skills in Claude Code 45:00 “How do LLMs deal with conflicts between skills?” 46:02 “Are you stuck using all skills for each session? Or can you subset which skills you’re using for that session?” 47:00 “Is the default to download them on a per project level?” 47:24 “What is the difference between local and global skills folders? Could you demonstrate that for us really quickly?” 49:58 Demoing the Planetator tool for reviewing files and giving inline feedback 53:28 “Is installing skills from the claude code plug-in marketplace the same thing with installing with npx?” 54:44 “What distinguishes the.claud folder from a.agents folder?” 55:21 “Is it the community practice to let an LLM write the skill with resources fed as opposed to writing it by hand?”

Garrick Aden-Buie

Analyzing a TidyTuesday dataset with Posit Assistant in RStudio | Hadley Wickham | Data Science Lab

The Data Science Lab is a live weekly call. Register at pos.it/dslab! Discord invites go out each week on lives calls. We’d love to have you! The Lab is an open, messy space for learning and asking questions. Think of it like pair coding with a friend or two. Learn something new, and share what you know to help others grow. On this call, Libby Heeren is joined by Hadley Wickham who uses Posit’s new Posit Assistant (not to be confused with Positron Assistant or Databot in Positron) in RStudio to analyze the week’s TidyTuesday dataset. Hosting crew from Posit: Libby Heeren, Isabella Velasquez, Hadley Wickham Hadley’s Blueskey: https://bsky.app/profile/hadley.nz Hadley’s LinkedIn: https://www.linkedin.com/in/hadleywickham/ Hadley’s GitHub: https://github.com/hadley Hadley’s website: https://hadley.nz/ Resources mentioned in the video and chat: Posit AI / Posit Assistant waitlist → https://posit.co/products/ai/ Tidy Tuesday Dataset → https://github.com/rfordatascience/tidytuesday/blob/main/data/2026/2026-02-17/readme.md#agricultural-production-statistics-in-new-zealand nanoparquet (R package) → https://nanoparquet.r-lib.org/ Databot → https://positron.posit.co/databot.html wbstats (R package for WorldBank API) → https://github.com/gshs-ornl/wbstats World Bank NZ data → https://data.worldbank.org/indicator/SP.POP.TOTL?locations=NZ Hadley & Joe’s posit::conf talk ft. Hadley’s demo of ggbot2 → https://www.youtube.com/watch?v=tSFHQWGyRzo Wikimedia: New Zealand Total Population → https://commons.wikimedia.org/wiki/Data:New_Zealand_Total_Population.tab Posit Conf Talk: James Wade’s “Disposable Shiny Apps” → https://www.youtube.com/watch?v=smnrmTtoiOM Hadley’s unhinged {genzplyr} (R package) →https://github.com/hadley/genzplyr Simon Couch’s blog post on evaluating LLMs → https://posit.co/blog/python-llm-evaluation/ Garrick Aden-Buie mentioned working on a collection of skills → https://github.com/posit-dev/skills Max Woolf’s blog post “Does Offering ChatGPT a Tip Cause it to Generate Better Text?” → https://minimaxir.com/2024/02/chatgpt-tips-analysis/ Cat Hicks’s skill for coding agents that lets you learn from the agent → https://github.com/DrCatHicks/learning-opportunities (but also see her great thread on bluesky! https://bsky.app/profile/grimalkina.bsky.social/post/3mevvbm3a6s26) ► Subscribe to Our Channel Here: https://bit.ly/2TzgcOu Follow Us Here: Website: https://www.posit.co Hangout: https://pos.it/dsh The Lab: https://pos.it/dslab LinkedIn: https://www.linkedin.com/company/posit-software Bluesky: https://bsky.app/profile/posit.co Thanks for hanging out with us! Timestamps of Questions / Topics 00:00 Introduction 01:17 Posit Assistant and using an agents.md file 02:54 Downloading TidyTuesday data using Posit Assistant 04:38 “Why use Parquet files over CSVs?” 07:11 Oops, switching Hadley’s mic, sorry! 09:27 Creating a visualization of sheep populations 10:28 “When would you switch models to Opus?” 13:28 “Do we have a Gen-Z human in the loop to verify the syntax?” (We did, folks, we did) 13:54 “How many bow ties does Hadley own?” 14:24 Asking the AI to retrieve real New Zealand population data 15:25 “Can the Posit Assistant use voice to text so people don’t have to type…?” 18:40 “What’s the purpose of the agents.md file and what goes in there?” 20:59 “How does posit AI in RStudio compare with the current positron AI assistants?” 22:39 “Will all the code generated by Posit assistant be stored in the session somehow to let somebody review what the agent generated?” 26:08 Having the AI create a Quarto report 26:54 “Does Posit Assistant also support Skills Files?” 27:49 “Were we always able to add agents.md in Positron too?” 28:17 “Did Hadley choose the name agents for agents.md or does each session have an agents file similar to having a README.md?” 29:57 Fixing the AI-chosen plot theme 31:55 “Is any of the stuff that it’s put in the report in Gen-Z speak, or is it only what it’s returning to you in the chat?” 33:24 “Can Posit Assistant create a renv as well?” 35:39 “Is Claude also the best for Python code?” 36:20 “If you add a behavior or a requirement to agents.md, does it take that new info in on the fly as you continue prompting?” 37:40 “What if you ask the agent why something happened?” 40:31 Investigating AI speculations about dairy cattle numbers 41:15 “Do you still need to know how to code in 2026?” 41:42 “Does using caps lock increase the likelihood that the LLM is going to listen to your agents.md file?” 45:47 “Could Hadley have done this faster without an AI?” 47:26 Hadley had AI do text clustering on image descriptions (previous TidyTuesday dataset) 48:41 Hadley had AI make a Shiny app to explore cluster sizes (previous TidyTuesday dataset) 52:53 “If one of the best ways to learn how to read code is to write code, what’s gonna happen if we’re writing it less?” 54:05 Wrap up and Posit AI waitlist information

Garrick Aden-Buie, Hadley Wickham, Simon Couch

Exploring Positron settings | Isabel Zimmerman & Davis Vaughan | Data Science Lab

The Data Science Lab is a live weekly call. Register at pos.it/dslab! Discord invites go out each week on lives calls. We’d love to have you! The Lab is an open, messy space for learning and asking questions. Think of it like pair coding with a friend or two. Learn something new, and share what you know to help others grow. On this call, Libby Heeren is joined by Posit engineers Isabel Zimmerman and Davis Vaughan as they share some of their favorite settings in Positron, a super customizable data science IDE. Come laugh with us as we can’t seem to figure out that VSCode calls rainbow parentheses “bracket pair colorization” Hosting crew from Posit: Libby Heeren, Isabella Velasquez, Daniel Chen, Isabel Zimmerman, Davis Vaughan Resources from the hosts and chat: Install Positron: https://positron.posit.co/ Positron docs on keyboard shortcuts: https://positron.posit.co/keyboard-shortcuts.html Nathan Jeffery’s “click to open a.RDS file” keybinding: https://nathan-jeffery.netlify.app/blog/2025-08-26-read-rds-positron/ Positron R pipe setting (paste in browser and it’ll open in Positron): positron://settings/positron.r.pipe One of Dan Chen’s faves, the native tab feature in VSCode + Positron: https://lucasprag.com/posts/underrated-vscode-feature-native-tabs/ The list of RStudio keybindings that you get when you turn on RStudio keybindings in Positron: https://positron.posit.co/migrate-rstudio-keybindings.html Indent rainbow extension: https://open-vsx.org/extension/oderwat/indent-rainbow Rainbow brackets setting (paste in browser and it’ll open in Positron): positron://settings/editor.bracketPairColorization.enabled Setting hierarchy (User vs Workspace settings) in Positron: https://code.visualstudio.com/docs/configure/settings#_settings-precedence Rainbow CSV extension (not by Posit): https://marketplace.visualstudio.com/items?itemName=mechatroner.rainbow-csv Positron +1ePositron, an extension pack for dev and data science, by Garrick Aden-Buie: https://open-vsx.org/extension/grrrck/positron-plus-1-e Publishing from VS Code or Positron: https://docs.posit.co/connect/user/publishing-positron-vscode/ Posit Connect Cloud plans: https://connect.posit.cloud/plans Enter Folder extension that Libby mentions: https://open-vsx.org/extension/xiangda/enter-folder Catppuccin themes (shared by Rory Lawless, and now some of Libby’s favorites!): https://open-vsx.org/extension/Catppuccin/catppuccin-vsc ► Subscribe to Our Channel Here: https://bit.ly/2TzgcOu Follow Us Here: Website: https://www.posit.co The Lab: https://pos.it/dslab Hangout: https://pos.it/dsh LinkedIn: https://www.linkedin.com/company/posit-software Bluesky: https://bsky.app/profile/posit.co Thanks for learning with us! Timestamps 00:00 Introduction 00:42 Guest Introductions: Isabel and Davis 02:41 Positron Settings overview 04:11 How to enable “Format on Save” 04:34 “How do I open settings in JSON or UI?” 05:10 Auto Save on focus change 08:26 Enabling RStudio key bindings 09:28 “Why doesn’t the cursor move with code edits?” 12:18 User vs. Workspace settings 14:34 Creating and using Profiles 16:13 “Can I use the magrittr pipe with Control+Shift+M?” 17:23 Searching and managing keyboard shortcuts 19:42 Creating custom code snippets 21:31 The Indent Rainbow extension 24:04 Enabling rainbow parenthesis/brackets 25:08 Managing Python and R interpreters 26:32 Rearranging and hiding UI panes 28:04 Rainbow CSV and favorite extensions 29:26 Using the Enter Folder extension 31:05 Understanding the setting hierarchy 32:48 Adding symbols to Quick Open search 36:00 “Is there a way to shift focus using keyboard shortcuts?” 38:04 Modifying keybindings JSON for specific languages 39:20 “How do you find trustworthy extensions?” 43:11 “How can I publish to shinyapps.io from Positron?” 44:03 Deploying with Posit Publisher and Connect Cloud 48:32 Customizing themes with RainGlow extension 50:36 “Is there an Import Data Set wizard in Positron?” 53:01 Conclusion and community resources

Davis Vaughan, Garrick Aden-Buie, Isabel Zimmerman

Tool Calling UI in shinychat

Rich tool calling displays are now available in shinychat!

Garrick Aden-Buie, Carson Sievert, Barret Schloerke

Theming Made Easy: Introducing brand.yml (Garrick Aden-Buie, Posit) | posit::conf(2025)

Theming Made Easy: Introducing brand.yml Speaker(s): Garrick Aden-Buie Abstract: brand.yml is an exciting new project from Posit that radically simplifies theming. Every data science tool supports some form of theme and appearance customization, but each app framework, output format, or visualization tool requires its own special syntax for theming. The goal of brand.yml is to create a portable and unified interface for brand-related theming that can be used anywhere that data science artifacts are produced. As a collaboration between the Shiny and Quarto teams, brand.yml provides a single interface to setting baseline themes in reports and apps across the R and Python ecosystems. In this talk, I’ll introduce brand.yml and showcase the many ways that brand.yml can bring consistent styles to your data science outputs. Materials - https://github.com/gadenbuie/brand-yml-posit-conf-2025 Slides - https://pkg.garrickadenbuie.com/brand-yml-posit-conf-2025 posit::conf(2025) Subscribe to posit::conf updates: https://posit.co/about/subscription-management/

Garrick Aden-Buie

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

bslib v0.9.0 brings branded theming to Shiny for R

Unified theming is here for R users!

Garrick Aden-Buie

Branded theming for Shiny for Python apps

Unified theming via brand.yml is now available in Shiny for Python

Garrick Aden-Buie

Next Generation Shiny Apps with {bslib}

In this workshop, led by Garrick Aden-Buie, a software engineer for Shiny at Posit, you will learn how to build Shiny apps using modern user interfaces and layouts with bslib, the next generation of Shiny UI. Garrick will guide you through creating stylish and convenient dashboard layouts and components, demonstrating how bslib can effectively replace shinydashboard. Additionally, you will explore innovative techniques for deploying Shiny apps using shinylive, enabling the creation of static sites that run entirely in the user’s browser without the need for a Shiny server. Main Sections 00:00 Introduction 11:00 Shiny 14:57 How bslib started 18:29 Theming from start to advanced 22:19 College Scorecard Data 39:24 bslib layouts 01:20:25 Advanced layouts 01:49:18 Filling Layouts 02:42:09 Details on demand 02:50:01 New inputs 02:53:15 Wrap up More resources R Validation Hub Site: https://www.pharmar.org/ Main Site: https://www.r-consortium.org/ News: https://www.r-consortium.org/news Blog: https://www.r-consortium.org/news/blog Join: https://www.r-consortium.org/about/join Twitter: https://twitter.com/rconsortium?lang=en LinkedIn: https://www.linkedin.com/company/r-consortium Mastodon: https://fosstodon.org/@RConsortium

Garrick Aden-Buie

shinyswatch 0.7.0

Customizable shinyswatch themes and an improved theme picker round out shinyswatch v0.7.0

Garrick Aden-Buie

Communicating Data Science with Shiny! 🚀 Garrick Aden-Buie #datascience #datavisualization #shiny

Ever seen this diagram? It’s from R for Data Science, outlining the journey of tackling new data problems. 1️⃣ Start: Import and tidy your data. 2️⃣ Cycle: Transform, visualize, and model your data. 3️⃣ Communicate: Share your findings. But communication isn’t just the end—it’s an ongoing process! Shiny apps are your secret weapon for this. Scenario 1: Quick Shiny app for colleague feedback ️ refine your work. Scenario 2: Small app grows into a full-featured web application. From small, quick-use apps to robust final products, Shiny evolves with your project needs. Discover why Shiny is essential for every data scientist! Get Started: https://shiny.posit.co #positshorts

Garrick Aden-Buie

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

epoxy: Super Glue for Data-driven Reports and Shiny Apps - posit::conf(2023)

Presented by Garrick Aden-Buie R Markdown, Quarto, and Shiny are powerful frameworks that allow authors to create data-driven reports and apps. But truly excellent reports require a lot of work in the final steps to get numerical and stylistic formatting just right. {epoxy} is a new package that uses {glue} to give authors templating superpowers. Epoxy works in R Markdown and Quarto, in markdown, LaTeX, and HTML outputs. It also provides easy templating for Shiny apps for dynamic data-driven reporting. Beyond epoxy’s features, this talk will also touch on tips and approaches for data-driven reporting that will be useful to a wide audience, from R Markdown experts to the Quarto and Shiny curious. Presented at Posit Conference, between Sept 19-20 2023, Learn more at posit.co/conference.# Talk Track: Elevating your reports. Session Code: TALK-1155

Garrick Aden-Buie

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

Carson Sievert, Garrick Aden-Buie

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

Carson Sievert, Garrick Aden-Buie

Garrick Aden-Buie | xaringan Playground: Using xaringan to learn web development | RStudio

xaringan is a quirky package that extends R Markdown to create beautiful web-based HTML slides. Some of xaringan’s quirks come from the JavaScript library it uses, remarkjs, and some of it from the unusual naming scheme xaringan uses for its functions. But under this quirky exterior lies a powerful tool for learning and practicing web development, especially when combined with infinite_moon_reader() for immediate feedback. In this talk I’ll cover some basic web concepts that illustrate how fun and rewarding it can to learn HTML, CSS and JavaScript while building awesome slides in R Markdown. About Garrick: The workshop will be led by friend of RStudio, Garrick Aden-Buie, R developer and educator and Data Scientist at Moffitt Cancer Center, where he uses Shiny to enable and accelerate cancer research

Garrick Aden-Buie