R Weekly 2020-15 {gt 0.2.0}, {dplyr 1.0.0}, {ggpacman 0.1.0}

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Hello and welcome to this new issue!

Release Date: 2020-04-13

This week’s release was curated by Ryo Nakagawara, with help from the RWeekly team members and contributors.

Highlight

• {gt 0.2.0}: Easily generate information-rich, publication-quality tables from R

• {dplyr 1.0.0}: working within rows

• {ggpacman 0.1.0}: A ggplot2 and gganimate Version of Pac-Man

Insights

• Dataviz and the 20th Anniversary of R, an Interview With Hadley Wickham

• Thomas Lumley InteRview

• Retries in API packages and reinventing the wheel

• {dplyr 1.0.0}: working within rows

• 10 Things We Learned in Creating the Blog Guide with bookdown

R in the Real World

• Repaying Tom Nook with {R6}

• Scraping GDPR Fines

• How far are cyclists willing to go to use a cycling path? Part 1 - Graphhopper

COVID-19

• How to make that crazy Fox News y axis chart with ggplot2 and scales

• (Japanese) COVID-19 Tokyo Daily De-facto Population

• Number of COVID-19 Infections by Prefecture (Japan)

• COVID-19 USA State-Level Policy Data

• Scraping Google Covid-19 community movement data from PDF figures

Resources

• R programming in the Windows Subsystem for Linux - A comprehensive guide to setup an R development environment for Ubuntu running in the Windows Subsystem for Linux (WSL)

• Interactive dashboard of COVID-19 cases in Japan

New Packages

???? Go Live for More New Pkgs ????

CRAN

• {gt 0.2.0}: Easily generate information-rich, publication-quality tables from R

GitHub or Bitbucket

• {ggCyberPunk}: Cyberpunk themed geoms for ggplot2

• 

{tabularmaps}: Tabular maps with R

• {ggpacman 0.1.0}: A ggplot2 and gganimate Version of Pac-Man

• {jpcovid19}: Utilities to clean and visualize Japan COVID-19 data

• {ComplexUpset}: A library for creating complex UpSet plots with ggplot2 geoms

• {coronaobj}: Generate customized, scientifically accurate 3D models of SARS CoV-2

• {flametree}: Generative artwork that looks a bit like trees

Updated Packages

• {fs 1.4.1}

• {glue 1.4.0}

• {tibble 3.0.0}

• {exams 2.3.6}

• {effectsize 0.3.0}

• {usethis 1.6.0}

Videos and Podcasts

• Robust estimation with tidymodels bootstrap resampling

• aRt programming: A series of videos describing how to create a new generative art system in R

• [Getting Started with R + StatsBomb

  Analyzing Squad Rotation & Clustering Passes](https://www.youtube.com/watch?v=ilIIjqfstfQ)

R Internationally

• brickrパッケージを利用してAnimal Crossingのマイデザインを作った

Tutorials

• R base plotting without wrappers

• Racing Barplots with {ggpattern}, {flagon} & {gganimate}

• Getting started in R markdown

• Many ways of reading data into R - 1

• Getting started in R with StatsBomb Data

• Data cleaning with Kamehamehas in R

• Visualize climate anomalies

• H is for {haven}

• Need a good RStudio Alternative? Try VSCode R

• How to basic: bar plots

• Android Smartphone Analysis in R [Code + Video]

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• April 16th, (Virtual/Online) R-Ladies Cape Town

• May 23rd, 85th (Virtual/Online) TokyoR Meetup

• A list of R conferences and meetings

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

More past events at R conferences & meetups.

Datasets

• {tdf}: Tour de France winners and stages data

Call for Participation

Your support will keep R Weekly team moving! ????

Quotes of the Week

Students struggle with install vs library every semester, and keep including their install code in the RMarkdown report. Hope this meme might help in the future #rstats pic.twitter.com/I8xg053y0x

— Dianne Cook (@visnut) April 9, 2020

????gghighlight????is a delight. Thank you @yutannihilat_en ????????!!!

Check out some cool added features in gghighlight 0.2.0: https://t.co/YV1BrVYPR6 #rstats pic.twitter.com/dIANwfOZsn

— Allison Horst (@allison_horst) April 11, 2020

Pssssttt..... hey kids.... wanna learn some Advanced Statistical Computing with R?@hglanz and I are making our course materials public. We'd like to invite you to follow along with our superstar Cal Poly students over the next 9 weeks:https://t.co/zpIsYMDYHu#rstats

— Kelly Bodwin (@KellyBodwin) April 6, 2020

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