R Weekly 2019-20 stringr, reproducible research, redoc

20 May 2019

Release Date: 2019-05-20

Highlight

• New stringr vignette comparing base string functions to their stringr equivalents

• Putting the R into Reproducible Research (slidedeck)

• redoc, reversible reproducible documents. redoc is a package to enable a collaboration via a two-way R Markdown-Microsoft Word workflow. Includes support for diffing, Critic Markup/track changes, and RStudio Add-ins.

Insights

• A Multimillion-Dollar Startup Hid A Sexual Harassment Incident By Its CEO — Then A Community of Outsiders Dragged It Into the Light

• Read the R source!

• Hey pretty

• Be some other name

R in the Real World

• A Shiny App to explore my NYT Crossword solving statistics

• Timezones are hard

R in Organizations

• rOpenSci Dev Guide 0.2.0: Updates Inside and Out

R in Academia

• POWER to the People

• Putting the R into Reproducible Research (slidedeck)

Resources

• New stringr vignette comparing base string functions to their stringr equivalents

• New tidyr vignette about rectangling including the new functions unnest_longer(), unnest_wider(), unnest_auto(), and hoist()

• drakeplanner, a web app to create new drake projects

• Working with data in elite sport (workshop slides)

• Interactive web-based data visualization with R, plotly, and shiny (book)

• Cheatsheet for tsbox, a time series toolkit

• SatRday LA 2019 Slides on Futures

• Data and code page on Alex Albright’s website. Features data/code for replicating & building on articles about everything from Oscars speeches to names of cats/dogs. Also features a smorgasbord of resources regarding R, websites, CVs, etc.

New Packages

📦 Go Live for More New Pkgs 📦

CRAN

• vaultr for storing and interacting with secrets and sensitive data using HashiCorp’s Vault

• rdoc colourised R docs in the terminal

GitHub or Bitbucket

• redoc, reversible reproducible documents. redoc is a package to enable a collaboration via a two-way R Markdown-Microsoft Word workflow. Includes support for diffing, Critic Markup/track changes, and RStudio Add-ins.

• g2r, grammar of graphics for interactive visualisations

• distributions, Probability Distributions as S3 Objects

• fastmap, fast implementation of a key-value store

• Introducing {tvthemes}: ggplot2 palettes and themes from your favorite TV shows!

Updated Packages

• diffobj 0.2.3, Compare R Objects with a Diff

• vroom 1.0.1, Read and Write Rectangular Text Data Quickly

• RcppAnnoy 0.0.12

• Quick Hit: Updates to QuickLookR and {rdatainfo}

• dqrng 0.2.1

• dplyr 0.8.1

Tutorials

• The Secret of Landusia: A Text Adventure in the R Language

• The small multiples plot: how to combine ggplot2 plots with one shared axis

• Virtual Morel Foraging with R

• an attempt at code golf

• House effects, herding, and the last few days before the election by @ellis2013nz

• Timing Working With a Row or a Column from a data.frame

• do_if: if statements with a %>% workflow!

• Analysing the HIV pandemic, Part 3: Genetic diversity

• Four ways to reverse a string in R

• The Evolution of a ggplot (Ep. 1)

• Australian Federal Election Forecasts 2019

• Polls v results by @ellis2013nz

• Popular Letters in Baby Names, Animated

• Fun with Statistics - Is Usain Bolt really the fastest man on earth?

• Debug your R package on CircleCI via Docker or SSH

• Mapping Tornado Alley with R

R Project Updates

Updates from R Core:

• GFortran Issues with LAPACK

Upcoming Events in 3 Months

Events in 3 Months:

• satRday Berlin Diversity Scholarship. Apply no later than Monday 27th May, 2019. Conference June 15th, 2019.

• May 25th: 78th Tokyo.R Users 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.

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

The moment I realized, my PhD mates included this huuuuuge R into my PhD hat! Just love it! They know me so well ;) #phdlife #rstats pic.twitter.com/SRVxS9a6YU

— Maja Ilić (@MajaIlicZg) 13 de maig de 2019

Question for #rstats users: what was (or is) the trickiest part for you about learning ggplot? What did you find unintuitive or hard to understand/remember? For teachers: what ggplot concepts do your students struggle with?

— Will Chase (@W_R_Chase) 13 de maig de 2019