R Weekly 2019-50 R 3.6.2, vscode-R, Internal

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Hello and welcome to this new issue!

Highlight

• R 3.6.2 is out, and a preview of R 4.0.0

• Internal functions in R packages

• vscode-R - R Extension for Visual Studio Code

Insights

• Advent of Code 2019-08 with R & JavaScript

• About URLs in DESCRIPTION

• Internal functions in R packages

• HTTP testing in R: overview of tools and new features

• Writing Proprietary R Packages

• R 3.6.2 is out, and a preview of R 4.0.0

R in the Real World

• Mid Table Mediocrity - Visualising potential winners in the Scottish Championship

• front-line house democrats: a quick guide

• Repeated measures can improve estimation when we only care about a single endpoint

• IPO Portfolios and a Benchmark

• Practical Tidy Evaluation

• Thoughts on the NHS-R conference

• Null hypothesis

• Using R/R Studio from a (Pixel Slate) Chromebook

• How the Auth0 Data Team Uses R and Python

• An accidental side effect of text mining

R in Organizations

• Uniting Local R Users in Spain – Users Murcia R (UMUR)

• Welcome to Leeds

Resources

• Course materials for Applied Machine Learning course in 2019 in London

New Packages

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

CRAN

• gluedown - wrap vectors in markdown syntax

GitHub or Bitbucket

• cbuild - provide tools for working with C both interactively and when constructing an R package

• ggfree - ggplot2-style plots with base R graphics

• rco - The R Code Optimizer blog post

• hamcrest

Updated Packages

• vscode-R - R Extension for Visual Studio Code

• RDieHarder 0.2.1

• RcppArmadillo 0.9.800.3.0

• RcppClassic 0.9.12

Videos and Podcasts

• R & Python: A Love Story

R Internationally

• An analysis of grape harvest employment in France, made with R, ggplot2 and gganimate. In French

Tutorials

• Shiny splash screen using modules and shinyjs

• Confidence and prediction intervals explained… (with a Shiny app!)

• How to Read & Write SPSS Files in R Statistical Environment

• Structured Errors in Plumber APIs

• A Collection of Benchmarks in R

• What is new for rquery December 2019

• A Comparative Review of the R AnalyticFlow GUI for R

• Analyzing Relational Contracts with R: Part I

• How to precompute package vignettes or pkgdown articles

• Building a statistical model for field goal kicker accuracy

• Inset maps with ggplot2

• Why I don’t use the Tidyverse

• Key R Operators

• a journey from basic prototype to production-ready Shiny dashboard

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

• R @ ISSA, December 26

• Thinking about rstudio::conf 2020? See the full conference schedule!

• Tidyverse Dev Day, January 31

• A list of R conferences and meetings

• This week’s local R-User and applied stats eventsMore past events at R conferences & meetups.

Datasets

• networkdata - R package containing several network datasets

Call for Participation

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

Quotes of the Week

Cut an #rstats scripts runtime from 2+ hours to <5 minutes and feel extremely powerful (even though arguably the first version was just bad code)

Don’t know who needs this but a few random tips below. Easy once you’ve heard them but often outside of intro content ????????

— Emily Riederer (@EmilyRiederer) December 13, 2019

Can't believe it has taken me so long to find the ggMarginal() function from the ggExtra package. A one line function to add marginal distributions to ggplots! #rstats pic.twitter.com/RdAlptpue9

— Sarah Romanes (@sarah_romanes) December 6, 2019

To day I asked the internet if shiny apps always must always look like shiny apps, and the internet (rstudio's shiny contest 2019) said no : https://t.co/yUVeGNTaGohttps://t.co/O3sdIiuUPE
Check these out and be amazed!#rstats

— Antoine Fabri (@antoine_fabri) December 13, 2019

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