R Weekly 2018-32 Basic, Generation

06 Aug 2018

Highlight

• Beyond Basic R - Introduction and Best Practices

• R Generation: 25 Years of R

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• bigreadr: Read large text files by splitting them in smaller parts.

• June 2018: Top 40 New Packages

• cleandata - Collection of functions to Inspect, Impute, and Encode Data

• umapr - A package for dimensionality reduction of large data

Insights

• How Should I Organize My R Research Projects?

• Beyond Basic R - Introduction and Best Practices

R in Organizations

• A Certification for R Package Quality

• rstudio::conf 2019 is open for registration!

• R Generation: 25 Years of R

• The program for uRos2018 is online

• Thanks, NVIDIA

R in the Real World

• ALLSTATisticians in decline? A polite look at ALLSTAT email Archives

• Data Journalism with R at one of the most important German newspapers

• Using satellite temperature data from the University of Alabama in Huntsville to look at global temperatures over the last 40 years.

• ggplot “Doodling” with HIBP Breaches

• Business confidence and economic growth

• Playing with the Fitbit API in R

Tutorials

• When interaction is not interaction: confounding and measurement error - Mismeasuring variables and their covariates can sometimes make it appear as if there’s interaction between them when there is not.

• Making static and dynamic maps using inlmisc - an R package developed by researchers at the United States Geological Survey (USGS) Idaho National Laboratory (INL) Project Office

• Create a cheap, disposable supercomputer with R, DigitalOcean, Docker, and future / furrr

• Encoding and Rendering Grade 1 Braille

• Highlighting with ggplot2: The Old School and New School Way

• Judging Freehand Circle Drawing Competitions

• About lazy evaluation

• Zooming into GWAS summary statistics: How to annotate and visualise summary statistics from genome-wide association studies using the R-package biomaRt.

• A glass shattering book draw with gganimate

• A quick introduction and tutorial on a cool social network analysis model for influence

• Video: How to run R and Python in SQL Server from a Jupyter notebook

• Solving Statistical Computing Problems with SQL

• The Cool Hacker Emi Tanaka

• Two of My Use Cases of Lazy Evaluation

• Saving ts objects as csv files

• Exploratory Data Analysis in R (introduction)

• Tuning xgboost in R: Part II

Upcoming Events in 3 Months

Events in 3 Months:

• SatRday Aug 31-Sept 1
  Amsterdam, the Netherlands.

• LatinR 2018 Sept 4-5
  Buenos Aires, Argentina.

• Econometrics and Statistics using R Sept 10-14
  Lisbon, Portugal.

• 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

TIL — You can add tabs in your RMarkdown document by adding `{.tabset}` in your header. All sub-headers will then appear in a tab instead of alone 😎#RStats #RMarkdown pic.twitter.com/4xPEHPph6h

— Colin Fay 🤘 (@_ColinFay) August 1, 2018

I try to write low dependency #rstats pkgs, but this is only possible b/c R has so much built-in: stats, string manip, low/high level graphics, etc. And it is stable over time; a bedrock to build on. Me when I think about it: 🤯.

Thank you R-Core!

— BrodieG (@BrodieGaslam) July 31, 2018