R Weekly 2019-52 Joy in 2019

30 Dec 2019

Highlight

• Writing R in VSCode: Interacting with an R session

• Analysing large data on your laptop with a database and R

• Packages that Sparked Joy in 2019

• schrute - Introducing the schrute package the entire transcripts from The Office TV show

R in the Real World

• The ‘largest stock profit or loss’ puzzle: efficient computation in R

• Using #rstats to Help Santa Deliver Presents This Christmas!

• May the XAI be with you!

• The significance of education on the salary in Sweden, a comparison between different occupational groups

• Using R to Analyze Fargo Crime Data

• 4 great free tools that can make your R work more efficient, reproducible and robust

Insights

• Analysing large data on your laptop with a database and R

• Packages that Sparked Joy in 2019

• Writing R in VSCode: A Fresh Start

• Writing R in VSCode: Interacting with an R session

R in Organizations

• mlr wins Open Source Machine Learning Software Award

• Want to Intern with rOpenSci’s Community Manager?

• Thank You, 2019

Resources

• VSCode vs. RStudio​

• An R-based guide to working with ACS/PUMS data

• hexmake - Build your own hex sticker

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• supreme - supreme is a modeling tool helping you better structure Shiny applications developed with modules

• dockr - easy containerization for R

• tfhub - R interface to TensorFlow Hub

• schrute - Introducing the schrute package the entire transcripts from The Office TV show

Tutorials

• How to use hierarchical cluster analysis on time series data

• Vignette: Downloadable tables in RMarkdown with the DT package

• Explore Your Data with ExPanD

• Introducing the bSims R package for simulating bird point counts

• Gold-Mining Week 16 (2019)

• Using R and H2O Isolation Forest anomaly detection for data quality, further analysis.

• Data Visualization in R vs. Python

• Getting a grip on using BibTeX with R Markdown documents

• Short Attention Span Theatre: Reproducing Axios’ “1 Big Thing” Google Trends 2019 News In Review with {ggplot2}

• Getting started with h2o4gpu

• YAP: Yet Another Probabilistic Neural Network

• Happy Holidays 2019

• What’s in a package?

• A Richer Category for Data Wrangling

• Learning to Teach Machines to Learn

• Want to Intern with rOpenSci’s Community Manager?

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Thinking about rstudio::conf 2020? See the full conference schedule!

• Tidyverse Dev Day, January 31

• A list of R conferences and meetings

• This week’s local R-User and applied stats eventsMore past events at R conferences & meetups.

Jobs

• postdoc in Bayesian machine learning in Berlin

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

I love Mondays because that’s the day I get the R weekly newsletter.

From an R Weekly reader.

Just used the #rstats package `purrr` to read in 53 individual csv files and combine them all easy peasy. I've used this approach before, and it never ceases to make me smile. 5 years ago I would have combined them all by hand in Excel. My how far I've come. pic.twitter.com/JFR7fHVJwe

— Chris Prener (@chrisprener) December 20, 2019