R Weekly 2019-33 {golem}, {RinteRface}, and Giraffes

19 Aug 2019

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

Release Date: 2019-08-19

Highlight

• golem: A Framework for Robust Shiny Applications

• Episode 4: The RinteRface packages for production-ready Shiny UI

• Teacups, Giraffes, and Statistics

Insights

• Can we use a neural network to generate R Shiny code? Let’s find out!

• In search of the perfect partial dependence plot for Random Forests

• 2 Months in 2 Minutes – rOpenSci News, August 2019

• Prepping data for #rstats #tidyverse and a priori planning

• R Community Explorer

• Themes to Improve Your ggplot Figures

• Really Large Numbers in R

R in the Real World

• Cyclists – London Ride 100 – Analysis for riders and clubs using Shiny/R

• Using Data to Uncover the Smog: Jakarta Air Quality, 2016–2019

R in Academia

• Six Reasons to Consider Using R in Psychological Research

Resources

• Insurance Data Science : Text

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• golem: A Framework for Robust Shiny Applications

GitHub or Bitbucket

• objectremover RStudio Addin

• Introducing the minipdf package for writing raw PDFs

• report — Automated reporting of statistical models in R

• {ggtext}: Improved text rendering support for {ggplot2}

• {unglue}: Extract matched substrings using a pattern, similar to what {glue} does in reverse

• statsExpressions: Expressions with statistical details

Videos and Podcasts

• Episode 4: The RinteRface packages for production-ready Shiny UI

• How to make a reproducible version of your R analysis that can be run in a web browser

Gist & Cookbook

• Teacups, Giraffes, and Statistics

• Modern R with the tidyverse

R Internationally

• R est un logiciel libre et n’est livré avec ABSOLUMENT AUCUNE GARANTIE.

Tutorials

• How to generate meaningful fake data for learning, experimentation and teaching

• Caret vs. tidymodels - comparing the old and new

• First part of a series on how I setup this RStudio distill themed blog with Netlify

• Quick exploration of dagitty and ggdag packages for using DAGs in causal analyses.

• How to Automate EDA with DataExplorer in R

• Plumber Logging

• Local randomness in R

• Synthesizing population time-series data from the USA Long Term Ecological Research Network

• {ggtext} for images as x-axis labels

• Big Data: Wrangling 4.6M Rows with dtplyr (the NEW data.table backend for dplyr)

• Using parallelization, multiple git repositories and setting permissions when automating R applications with Jenkins

• Exploring Bob Ross Paintings!

• Converting lines in an svg image to csv

• Custom Discrete Color Scales for {ggplot2}

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

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

• R/Pharma Conference 2019, August 21 - 23

• R/Medicine 2019, September 12 - 14

• LatinR 2019, Santiago de Chile, September 25 - 27 - Latinamerican Conference About the Use of R in R&D

• Why R? 2019 Conference - Warsaw 26-29 September 2019

• rOpenSci OzUnconf (Sydney, Australia), December 11 - 13 2019

• 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

i'm now convinced that every project should be a standalone #rstats package and that every single cleaning and analysis step should be a function with tests to ensure they work exactly as expected how do i reign in my too much gene

— Sharla Gelfand (@sharlagelfand) August 14, 2019

Excited to announce my next book project: mastering shiny, https://t.co/0mhQs57TDp. I didn’t write shiny, but I’m having fun writing about it! #rstats

— Hadley Wickham (@hadleywickham) August 13, 2019