Docker-izing your work in R 🐳

R Docker turorial for reproducible research. via rOpenSci Labs

This is actually a series of 6 lessons put together at the rOpenSci unconf in 2016.

👨‍🏫 great intro, what-is ⇨ repres
🐳 "R Docker tutorial by ropenscilabs" https://t.co/hboFGlQDTM
via @rOpenSci #rstats #docker pic.twitter.com/fEepnsVSvk

— Mara Averick (@dataandme) November 15, 2017

Docker for the UseR by Noam Ross

🐳 looks like this was 💯! (plus tons o' bonus resources)
"Docker for the UseR" 🗣 @noamrosshttps://t.co/v64FwSbz6z #rstats #Docker pic.twitter.com/rxVwxVq9xl

— Mara Averick (@dataandme) July 11, 2018

Enough Docker to be Dangerous by Sean Kross

.@seankross 📝💡 intro guide esp for data 🤓s... "Enough #Docker to be Dangerous" https://t.co/A7fcIRlUxh #rstats #Python pic.twitter.com/Ze7JJ9LW9R

— Mara Averick (@dataandme) September 24, 2017

liftr 📦 by Nan Xiao

🐳📜 Docker your docs: "liftr: Containerize R Markdown Documents" by @road2stat https://t.co/nSN1ylZXsy #rstats #docker #rmarkdown pic.twitter.com/9xJQ4rANjy

— Mara Averick (@dataandme) October 15, 2017

liftr aims to solve the problem of persistent reproducible reporting. To achieve this goal, it extends the R Markdown metadata format, and uses Docker to containerize and render R Markdown documents.

You can also learn more about liftr from the slides from Nan Xiao’s talk from JSM 2018! 👇

🐳 combines the best of a bunch o' tools ⇩
"liftr: an R Package for Persistent Reproducible Research" 🗣 @road2stathttps://t.co/jsM0avJh1V #rstats #JSM2018 pic.twitter.com/m03tyO3qSM

— Mara Averick (@dataandme) July 30, 2018

Docker for R Package Development by Jim Hester

⭐️ guide: "Docker for R Package 📦 Development" by @jimhester_ https://t.co/jLtQy0yPu7 #rstats #docker [n.b. silly logo usage my fault 🐳] pic.twitter.com/GD1ZnuiInY

— Mara Averick (@dataandme) October 13, 2017

An R-docker hello world example via symbolix

👍 intro to 🐳 for R (w/ code):
"An R-docker hello world example" by Elizabeth Stark https://t.co/zQPXCWP0JD #rstats #Docker ht @rweekly_org pic.twitter.com/KvHOyl2ZY5

— Mara Averick (@dataandme) September 21, 2017

How to get started with data science in containers by Jamie Hall

This post isn’t R-specific, but that doesn’t mean it’s not useful!

What's all the #container hype about? "How to get started with data science in containers" https://t.co/WLFjFrzJQx via @kaggle #docker

— Mara Averick (@dataandme) February 6, 2016

Dockerized Shiny App development by Tamas Szilagyi

✨🐳 step-by-step:
"Dockerized Shiny App development" by @tudosgarhttps://t.co/D6lZkUrJUj (feat @TravisCI & httptest, too!) #rstats #docker pic.twitter.com/qYH65qTQYq

— Mara Averick (@dataandme) January 19, 2018

stevedore: A docker client for R by Rich FitzJohn

If @rgfitzjohn can make the 📦, I can make the Archer gif:
🚧 "stevedore: A docker client for R"
https://t.co/x45CO95wLh #rstats #Docker pic.twitter.com/qCMV6sutzO

— Mara Averick (@dataandme) November 27, 2017

Using RSelenium and Docker To Webscrape In R - Using The WHO Snake Database by Callum Taylor

📖 if only @CallumGWT's 🖍…
"Using RSelenium & #Docker To Webscrape In R - w/ the WHO 🐍 Database" https://t.co/QovBI62bwi #rstats #rselenium pic.twitter.com/GfAAqKdm6c

— Mara Averick (@dataandme) February 7, 2018

Dockerise and deploy your own R Archive Repo by Colin Fay

🐳 Become one w/ {craneur}...
"Dockerise and deploy your own R Archive Repo" ✍️ @_ColinFay https://t.co/qKQbuDgNT9 #rstats #docker pic.twitter.com/fnATnLLhdd

— Mara Averick (@dataandme) June 8, 2018

Shipping Data Science Products with R and Docker by Steph Locke

Woah! I had no idea about rize! 😎 stuff, @cole_brokamp!
🐳 wonderful Docker slides, Steph!
🔗 https://t.co/8EACAaHydd
🏷 #rstats #rshiny pic.twitter.com/9499MYoAbA

— Mara Averick (@dataandme) July 5, 2018

Fin 🎉

Additions? Questions? Comments? Snide remarks? Feel free to tweet me @dataandme 🐦, and/or comment below!