R Weekly 2019-17 R 3.6.0, Shiny, Production

29 Apr 2019

Highlight

• DataCamp CEO steps down indefinitely in wake of ‘inappropriate behavior’

• Reproducible Environments (R Views)

• R in Production

• Shiny v1.3.2 - Visually debug your reactivity issues

Videos and Podcasts

• Shiny Developer Series Episode 0: Launch! - In this episode, host Eric Nantz shares his journey with Shiny and plans for future content, along with a demo of the shinyhelper package to enhance in-app documentation with markdown.

Insights

• Three things to know beyond base R

• Reproducible Environments (R Views)

• 77th TokyoR User Meetup Roundup!

• How to handle CRAN checks with help from R-hub

• DataCamp CEO steps down indefinitely in wake of ‘inappropriate behavior’

R in the Real World

• Where do immigrants live in Montréal and Québec City?

• Data-driven design in Curious City: In, Out, Above, Beyond Saint Paul

• Identifying regional differences of Perinatal Mental Health indicators in the UK with R

• Happy EasteR! Let’s find some eggs…

• Visualizing your favourite song?

• Companies Are Demanding Model Interpretability. Here’s How to Do It Right.

• How to easily automate R analysis, modeling and development work using CI/CD, with working examples

• Familiarisation with the Australian Election Study

Resources

• Rachael Tatman’s R Tutorials (Kaggle)

• AI, Machine Learning and Data Science Roundup: April 2019

• A light touch introductory workshop to ggplot2 for beginners. Complete with presentation, exercises and solutions.

• A Few Old Books

• R in Production

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• March 2019: “Top 40” New CRAN Packages

GitHub or Bitbucket

• ggreverse - turning ggplots back in to code

Updated Packages

• corrr 0.3.2 - Correlations in R

• janitor 1.2.0 - Simple Tools for Examining and Cleaning Dirty Data

• mlr 2.14.0 - Machine Learning in R

• Shiny v1.3.2 - Visually debug your reactivity issues

• modelplotr v1.0 - Visualize the Business Value of your Predictive Models

R Internationally

• 30 years of financial compensation between federal states of Germany in animated chart, using new gganimate API and bounce effects. German article, R code and data provided.

Tutorials

• Game of Thrones: Animating the Shifting of Affiliations

• Scrollytell in Shiny

• Bivariate maps with ggplot2 and sf

• Using ccache to speed up R package checks on Travis CI

• The Easiest Way to Create Thresholds and Improve Your Classification Model

• Create R Markdown reports and presentations even better with these 3 practical tips

• Describe and understand Bayesian models and posteriors using bayestestR

• Reproducible Environments

• Practical Data Science with R Book Update (April 2019)

• GIF image writing in pure R

• Embedding subplots in ggplot2 graphics

• Using R/exams for Written Exams in Finance Classes

• Join, split, and compress PDF files with pdftools

• conditionz: control how many times conditions are thrown

• Industry publications – Sigma/Lloyd’s

• montreal_melting_pot

• A Short R Package Review: RQDA

• Using data.table with magrittr pipes: best of both worlds

• Creating blazing fast pivot tables from R with data.table - now with subtotals using grouping sets

• DALEX for keras and parsnip

• Every possible scatterplot from a data.frame (32 thousand plots of mtcars)

• Styling DataTables

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• China-R Beijing 24 May - 26 May

• A list of R conferences and meetings

• This week’s local R-User and applied stats events

More past events at R conferences & meetups.

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

#rstats 3.6.0 "Planting of a Tree" is released (source version)

— Peter Dalgaard (@pdalgd) April 26, 2019

New cheatsheet today! Use #python and #rstats together with #reticulate! Available at https://t.co/OZVUTm5lDl @rstudio pic.twitter.com/RUlXozso7U

— Garrett Grolemund (@StatGarrett) April 26, 2019

🤓 So many handy details covered in @ClausWilke's new book.
📖 "Fundamentals of Data Visualization"
🆓 online: https://t.co/zYvbBoaBJI #dataviz
📊 #rstats source code: https://t.co/l8X7uIxaJt (book language-agnostic) pic.twitter.com/Z5HNbMIyYg

— Mara Averick (@dataandme) April 22, 2019