R Weekly 2019-37 colors, TidyBlocks, texting

16 Sep 2019

Release Date: 2019-09-16

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

Highlight

• Built-in colour names in R

• TidyBlocks Framework

• Text yourself from #rstats

Insights

• Built-in colour names in R

• {pins}: Pin, Discover and Share Resources

• R Community Explorer – R User Groups

• How R changed me as an analyst

• R puzzle

• Introducing the minicss package for creating CSS styles and stylesheets in R

• Implementing Gaussian Process in Python and R

• September 2019 Democratic Debates Added to {ggchicklet}

• Why Shiny? + 6 Best Practices we learned after shipping dozens of Shiny Applications

• {santoku} - a visual introduction

• Shiny app for tracking time

• #Excel spreadsheets vs Shiny, a feature comparison

• Comparing Auckland’s Population with Maps

• A tutorial for tidying UK Office for National Statistics data files for use in R

• {ggrapid}: Create neat & complete ggplot visualizations with as little code as possible

• {RecodeReorder}: RStudio addin for interactively renaming, collapsing and reordering factor levels

• How tennis has changed over time

• {Polished}: Add modern authentication to Shiny

• Changing the variable inside an R formula

• Generating Oxford Comma triples, and sequenced BibTeX entries using the Tidyverse

• ggplot visualization of conditional inference trees

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

• caret vs. tidymodels - comparing the old and new

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

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

• Bootstrapping lowess (not loess :) with the tidyverse

• RSwitch 1.5.0 Release Now Also Corrals RStudio Server Connections

• Twitter “Account Analysis” in R

• Poisson point processes, mass shootings and clumping

• How to read an R help page

R in the Real World

• Was Trump confused by rainbow color map?

• My data science job hunt!

R in Organizations

• The Repetitions Eliminator R Library “mmetrics”

Resources

• An opinionated selection of books

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• {corporaexplorer 0.6.2}: A ‘Shiny’ App for Exploration of Text Collections

• {rawr} 0.1.0: Retrieve Raw R Code from Popular Tutorials and Websites

• {readxlsb} 0.1.2: Read ‘Excel’ Binary (.xlsb) Workbooks

• {ttdo} 0.0.3: Extend ‘tinytest’ with ‘diffobj’

GitHub, GitLab, or Bitbucket

• {minicss} 0.1.0: To programatically create CSS styles and style sheets from within R

• {santoku} 0.1.0: A versatile cutting tool for R

• {ggrapid} 0.0.1.0: Create neat & complete ggplot visualizations with as little code as possible

• {RecodeRecorder} 0.1.0: RStudio Addin for Renaming, Collapsing and Reordering Factor Levels

• {polished} 0.0.2.9002: Authentication and Administration for Shiny apps

• {pinpoint} 0.0.0.9000: Interactively explore and compare a distribution of numeric points

• {armacmp} 0.1.0.9000: 🚀 Translate R Linear Algebra Code to Armadillo C++

Updated Packages

• {tidyr} 1.0.0: New pivot and nest functions

• {shinysense} 0.2.0: Easier method for getting up and running with basic demos

• {mmetrics} 0.3.0: Easy Computation of Marketing Metrics with Different Analysis Axis

• {pinp} 0.0.8: Bugfix

• {pins} 0.1.2: Pin, Discover and Share Resources

• {WVPlots} 1.1.2: Palette and/or color controls

• {ggchicklet} 0.2.0: Updated 2019 debate data

Videos, Podcasts, and Presentations

• R for Clinical Trial Reporting

• A DevOps Process for Deploying R to Production

• A Graphical Introduction to tidyr’s pivot_*()

Tutorials

• First World Problems: Very long RMarkdown documents

• Introducing the minicss package for creating CSS styles and stylesheets in R

• TidyBlocks Framework

• Text yourself from #rstats

• Processing volcano video data using the imagefx package

• Getting or calculating the values from an underlying raster using stars and sf

• How to setup a blog using the distill RStudio package

• PowerPoint report generation with Shiny

• Overriding RStudio’s startup hook inside Rprofile

R Project Updates

Updates from R Core:

Upcoming Events in 3 Months

Events in 3 Months:

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

• Tokyo.R #81, September 28

• 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

• Get Funded by the R Consortium – Call for Proposals Open Now!

Your support will keep R Weekly team moving! 💡

Quotes of the Week

The videos from #useR2019 conference are NOW on the @RConsortium @Youtube channel! https://t.co/MlkEaMrj5Q
The talks, the plenary sessions, the lightning talks... at your own pace.
Enjoy ! pic.twitter.com/hbXvHOsGlF

— useR! 2019 (@UseR2019_Conf) August 30, 2019

This is how I explain the 'pipe' to #rstats newbies... pic.twitter.com/VdAFTLzijy

— We are R-Ladies (@WeAreRLadies) September 13, 2019

The magrittr macaroons are vanilla with a salted caramel buttercream filling. The plain green ones honour the lime package with thanks to @thomasp85 and @pommedeterre33 for making government models explainable. They are lime with a chocolate and coconut buttercream filling. pic.twitter.com/hlPO634aPu

— Owen Churches (@OwenChurches) September 11, 2019