R Weekly 2019-24 Tidy Statistics, CRAN Check, and software testing.

17 Jun 2019

Release Date: 2019-06-17

Highlight

• A Gentle Introduction to Tidy Statistics in R

• Overview of the CRAN checks API

• Testing statistical software

Insights

• Overview of the CRAN checks API

• reticulate, virtualenv, and Python in Linux

• Taking over maintenance of a software package

• Testing statistical software

• Using the recipes package for easy pre-processing

R in the Real World

• Wrapping Up Exploration of John Deere’s MowerPlus Database

• Using tidyverse tools with Pew Research Center survey data!

• An Analysis of The Gender Wage Gap In Australia

• Exploring European Parliament election results in Italy through animated cartograms

• Does “Sell in May, Go Away” really work?

• Makeover Jumbalaya: Beating Dumbbells into Slopegraphs Whilst Orchestrating EtherCalc

R in Organizations

• First Two Weeks this Summer at RStudio

• Community Call - Involving Multilingual Communities

• Insurance Data Science Conference – 2019

Resources

• Summer of blogdown: a 4-day workshop series on the blogdown R package, from the folks at RStudio Education

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• tsibbledata - a diverse collection of datasets for learning how to work with tidy time series data

• modelDown is now on CRAN!

GitHub or Bitbucket

• corporaexplorer - Dynamic exploration of text collections. paper

• gbfetch - Download DNA sequences from GenBank directly into R

• ethercalc

Updated Packages

• littler 0.3.8 - Several nice new features

• tidytext 0.2.1

• RStudio Connect 1.7.4.2 - Important Security Patch

• simglm 0.7.4 - Tidy Simulation

• padr 0.5.0

Videos and Podcasts

• A Gentle Introduction to Tidy Statistics in R

• #22: Using Rocker and PPAs for Fun and Profit

Tutorials

• A tutorial on how to draw dendrograms with ggplot2.

• satRday Berlin 2019: Remedies for Severe Class Imbalance

• Trying out blogdown

• Working with SPSS labels in R

• R vs. Python

• Stabilising transformations: how do I present my results?

• #rstats adventures in the land of @rstudio shiny (apps)

• Polygon plotting in R

• Don’t get too excited - it might just be regression to the mean

• The power of three: purrr-poseful iteration in R with map, pmap and imap

• Identifying and labeling boxplot outliers in R

• Estimating Rates using Probability Theory: Chalk Talk

• another attempt at code golf

• Equal Size kmeans

• Fun with R and the Noops

• Exploring Categorical Data With Inspectdf

• What does it look like at the top of the world?

• Simulating genetic data with R: an example with deleterious variants (and a pun)

• Interactive Network Visualization with R

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• TokyoR #79, June 29th

• useR2019

• Mexico CDSB Workshop 2019, July 29 - August 2 - How to Build and Create Tidy Tools

• 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

Dear R community, we are getting you a 📘 with @OReillyMedia to learn large-scale #DataScience and #MachineLearning using #ApacheSpark with #rstats! -- Currently on pre-sale 🎉, early preview next and scheduled to be published later in the year: https://t.co/Avq479dC0y pic.twitter.com/9YB5u4YXgA

— Javier Luraschi (@javierluraschi) June 13, 2019

Something pretty made with R.
by @aschinchon

Phyllotaxis By Shiny
Made with ggplot2 & #rstats
⠀
Learn more at https://t.co/jGeNZ7s1RT
Repo: https://t.co/4hxCgETqx8 pic.twitter.com/aObGD7cj2p

— RStudio (@rstudio) June 16, 2019

Save the date! #useR2020 will be in #StLouis from July 7 through July 11 at the @MarriottStLouis. We are so excited to welcome the @_R_Foundation and the #rstats community to the Gateway City! pic.twitter.com/bACJsjZhv1

— useR! 2020 (@useR2020stl) June 14, 2019