R Weekly 2018-43

Release Date: 2018-10-22

Highlight

Insights

• ALTREP and C++

• Rmd Files will No Longer be Rendered as Markdown on Github

• Tidying workflows in R

• Tomas Kalibera: Conditions of Length Greater Than One

• Tomas Kalibera: Maximum Number of DLLs

• The best data science books: interview with Roger Peng, founder of the Coursera R & Data Science specialization

• RStudio 1.2 Preview: Stan

R in the Real World

• Maryland’s Bridge Safety, reported using R

• Applying traditional and bayesian testing methods to determine improvement in swim times in a season.

• Text mining of the Iliad with R

• Make New York Times-style building maps for your zip code with a few lines of #rstats code.

• Finding correlations between music chords and lyrics of thousands of Rock songs with sparse canonical correlation analysis

• Insights into the world of competitive swimming from an early age, through the lens of a summer league.

• A Brief History of My Life (on Twitter)

R in Organizations

• Progress on driving diversity standards in the R community – an update on RCDI-WG

• Here you can find tweets and code highlights from the R-Ladies Melbourne second anniversary event! The event was called ‘How R you?’ and different members from our community shared code and presented their R tip at the event. All their code is available here!

R in Academia

Resources

• A Practical Guide to Mixed Models in R

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• RcppNLoptExample 0.0.1: Use NLopt from C/C++

• Announcing RStudio Package Manager

BioC

GitHub or Bitbucket

Package Releases

• DataExplorer v0.7

• RcppCCTZ 0.2.5

Videos and Podcasts

• SatRday talks recordings

Gist & Cookbook

R Internationally

Tutorials

• Generalized Linear Models: understanding the link function

• 5 Alternatives to the Default R Outputs for GLMs and Linear Models

• Obtaining the number of components from cross validation of principal components regression

• September 2018: Top 40 New Packages

• Introduction to the causal_forest function from the grf package, as well as a demystified introduction to heterogenous treatment effects models, with an emphasis on practicality.

• Cannabis Curve with ggplot2

• Quote While the Promise Is Hot!; a tip for using tidyeval

• Even more images as x-axis labels

• Voice Control your Shiny Apps

• Slides from my talk at the R-Ladies Meetup about Interpretable Deep Learning with R, Keras and LIME

• How to import a directory of csvs at once with base R and data.table. Can you guess which way is the fastest?

• Piping into ggplot2

• Package support offer

• MCHT, Closures, and R Environments: Making MCHTest Objects Self-Contained

• A small logical change with big impact

• Slides from my m-cubed talk about Explaining complex machine learning models with LIME

• Quasiquotation in R via bquote()

• Serendipity at R / Medicine

• pubchunks: extract parts of scholarly XML articles

• shinytest - Automated testing for Shiny apps

• Statistically Efficient Ways to Quantify Added Predictive Value of New Measurements

• Explicitly Optimizing on Causal Effects via the Causal Random Forest: A Practical Introduction and Tutorial

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

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

More past events at R conferences & meetups.

Datasets

Jobs

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

🙌 The figs on reduce() in the "Functionals" section of @hadleywickham's "Advanced R" are, like, *super* helpful! https://t.co/SmxX7S1xOU #rstats pic.twitter.com/oRUNamqU32

— Mara Averick (@dataandme) October 19, 2018

gganatogram now includes a cell diagram (cellogram?)!
Please also cite @HumanProteome if using the cell and @ExpressionAtlas if using the anatograms. https://t.co/f0KcBetmCe#rstats #ggplot2 #dataviz #gganatogram #ASHG18 pic.twitter.com/MfZqSf9mCl

— Jesper Maag (@JesperMaag) October 18, 2018

On Monday, @hadleywickham addressed the cadets and faculty at the United States Military Academy at West Point about data science in the tidyverse. Thanks for your inspiration and mentorship to our team! #rstats pic.twitter.com/9puenjbDVr

— Dusty Turner (@DTDusty) October 20, 2018