R Weekly 2019-43 Facebook, renv, Pivot

28 Oct 2019

Highlight

• deleting_facebook - Documentation of what I’m doing to prepare to delete Facebook account

• {renv}: Project Environments

• Pivoting tidily

• Intro to {bulletchartr} (Tokyo.R #82, Oct. 26, 2019)

R in the Real World

• Why do we need to teach

• 12 Months of restaurants

• R is overtaking Python in microbes analysis

• Downloading Fitbit Data Histories with R

• Justice reactions to deviant ingroup members: Ingroup identity threat motivates utilitarian punishments

• A Tale of Two (Small Belgian) Cities with Open Data: Official Crime Statistics and Self-Reported Feelings of Safety in Leuven and Vilvoorde

• Building a Corporate R Package for Pleasure and Profit

Resources

• Intro to {bulletchartr} (Tokyo.R #82, Oct. 26, 2019)

• What can social media do for academic and professional statisticians?

• Successful Integration of Data Science in Undergraduate Biostatistics Courses Using Cognitive Load Theory

• Mastering Apache Spark with R

• Agile Data Science with R

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {varycoef}: R Package to Model Spatially Varying Coefficients

• {fastrtext}: ‘fastText’ Wrapper for Text Classification and WordRepresentation

• {renv}: Project Environments

• {fresh}: Fresh shiny themes

GitHub or Bitbucket

• {rmangal}: making ecological networks easily accessible

• {nationalparkcolors}: R package for color themes inspired by national parks

• {WhiteboxTools}: an advanced geospatial data analysis platform

• deleting_facebook - Documentation of what I’m doing to prepare to delete Facebook account

Updated Packages

• {RcppGSL 0.3.7}

• {digest} 0.6.22: More goodies!

• {pkgKitten} 0.1.5: Creating R Packages that purr

• {RStudio Professional Drivers} 1.6.0

• {dang} 0.0.11: ‘Dang’ Associated New Goodies

• {tidybayes} 1.1.0: Bayesian analysis + tidy data + geoms

Tutorials

• Testing the tune package from tidymodels - analysing the relationship between the upsampling ratio and model performance

• Tidyverse Fun - Part 1

• Pivoting tidily

• New Introduction to rquery

• The right perspective

• Data Frames as Vectors of Rows

• A Comprehensive Introduction to Command Line for R Users

• Gold-Mining Week 8 (2019)

• cheatR: an R package for catching cheaters

• Access the free economic database DBnomics with R

• (Much) faster unnesting with data.table

• Avoiding embarrassment by testing data assumptions with expectdata

• SQL Server Schemas & R Tip

• 10 Steps to Better Graphs in R

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Yes We Cran: A conference on R packages and their applications, December 6-8

• rOpenSci OzUnconf, December 11-13

• R @ ISSA, December 26

• 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

My first attempt to make zine-like handouts to help students learn R. Inspired by @b0rk pic.twitter.com/f5L6j6VFh5

— Daniel Brady (@DanTBrady) October 26, 2019

Thanks to maggritr, wbstats and gganimate it is possible to create Hans Rosler's famous bubble chart in a single #rstats command. Find me another language that can do this? (BTW here's my code https://t.co/gmafusMYqh) #datascience #analytics #r4ds pic.twitter.com/1zKhZl46dW

— Keith McNulty (@dr_keithmcnulty) October 23, 2019

I was asked to contribute a dataviz something or other for an upcoming college Parents Weekend event, and so here is Dogs of New York, the Feed Your NYC Stereotypes Poster. pic.twitter.com/Mz2jfEqvQL

— Kieran Healy (@kjhealy) October 22, 2019

The remarkable rise in life expectancy, 1900-2016, split by continent. #GoodNewsGraphs #rstats pic.twitter.com/gk6TUztEr4

— Todd R. Jones (@toddrjones) October 19, 2019

When your #Rstats scripts runs without errors at your first attempt pic.twitter.com/LnYpPOGKgG

— Dan Quintana (@dsquintana) October 19, 2019