R Weekly 2020-38 Art, ggforce, debugging in VSCode

21 Sep 2020

Release Date: 2020-09-21

• How to have (my) content shared by R Weekly?

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

Highlight

• Making Learning to Code Friendlier with Art — An Interview with Dr. Allison Horst

• It’s a Bird, It’s a Plane … It’s a ggforce function

• Introduction to debugging R in VSCode

Insights

• First Impressions of Julia from an R User

• Writing a blogdown post for the ages

• Some more notes about using Rust code in R packages

• Some Thoughts on R / Medicine 2020

• Making Learning to Code Friendlier with Art — An Interview with Dr. Allison Horst

• Bookdown, Not Bookout

• Introduction to debugging R in VSCode

R in the Real World

• Estimating Run/Pass Tendencies with tidyModels and nflfastR

• A statistical analysis of a managers’ sartorial and tactical choices.

• Sequential satisficing

• Risk Scoring in Digital Contact Tracing Apps

R in Academia

• Generating probabilities for ordinal categorical data

• Lasso and the Methods of Causality

Resources

• Introducing our new book, Tidy Modeling with R

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {RcppSpdlog} 0.0.1: New and Exciting Logging Package

• {r5r} 0.1.0: Rapid Realistic Routing with ‘R5’

• {waves} 0.1.0: Vis-NIR Spectral Analysis Wrapper

• {zipcodeR} 0.1.0: Data & Functions for Working with US ZIP Codes

Updated Packages

• {collapse} 1.3.2: Advanced and Fast Data Transformation in R

• {htmldf 0.2.9000}: Simple scraping and tidy webpage summaries

• {plumber} 1.0.0: Turn your R code into a web API.

• {pkgdown} 1.6.0: Generate static html documentation for an R package

• {cfbscrapr} 1.0.2: A scraping and aggregating package using the CollegeFootballData API

• {workflows} 0.2.0: Bundle together your pre-processing, modeling, and post-processing requests

Videos and Podcasts

• Shiny Developer Series: Episode 13: Inside Plumber 1.0 (Barret Schloerke Part 2)

• Sentiment Analysis in #Rstats with Custom Lexicon Dictionary using tidytext

• Dataviz Interview

• Coding R for Data Science (tidyverse) on Google Colab

Shiny Apps

• Barcelona passing network analysis

R Internationally

• (Japanese) データ分析をちゃんと管理しよう with R 【フォルダ構成編】

• (Japanese) 医療統計で必要なtable1、集計からofficeに貼り付けるまでをgtsummaryパッケージで一気に行う

• (Japanese) データ要約ガチ勢のためのgtsummaryで表を書こう

Tutorials

• Sending Emails Should Be Easier in RMarkdown

• Let’s {explore} count-data!

• R Colors in CSS for R Markdown HTML Documents

• It’s a Bird, It’s a Plane … It’s a ggforce function

• Whose dream is this? When and how to use the Keras Functional API

• Creating a data.frame in C

• Demonstrating the central limit theorem in R

• Introducing serializer - a demonstration pkg illustrating how to use R’s serialiation from C

• Using Census Microdata and R to Analyze High Speed Internet Access

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• Why R? 2020 (Remote) - September 24-27

• Announcing the 2020 RStudio Table Contest!

• VirtuEARL – EARL Conference online - October 2020

• A list of R conferences and meetings

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

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

Did you know that it is easy & fun to extract colors from images in #rstats? I built these palettes in less than 5 minutes. Plus, the number of colors can be scaled (& the extraction method can be changed)!

🎨colorfindr: https://t.co/Lmh4UBwkpo
🖋️@dataandme & @DavidZumbach pic.twitter.com/cmSFYwQ31A

— Anna Henschel (@AnnaHenschel) September 19, 2020

efficiently labeling variables: a useful skill if you make a lot of #rstats tables👩🏼‍💻

feat. labelled, snakecase, stringr & gtsummary 📦s pic.twitter.com/YmiYZEjVKS

— Kat Hoffman (@rkatlady) September 13, 2020