R Weekly 2019-05 BBC, Arduino

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Hello and welcome to this new issue!

Release Date: 2019-02-04

Highlight

• How the BBC Visual and Data Journalism team works with graphics in R

• Connecting Arduino Chips with R

Insights

• Time Travel with RStudio Package Manager 1.0.4

• Summarizing rstudio::conf 2019 Summaries with Tidy Text Techniques

• Book review: Beyond Spreadsheets with R

• Tidy Tuesday

R in the Real World

• Using Data Science to read 10 years of Luxembourguish newspapers from the 19th century

• Graphing My Daily Phone Use

• Text classification in R using keras and udpipe based workflow

• How to scrape shot data and plot shot charts for games in the Spanish basketball league using the rfeb package

• The dominance of running backs for Wisconsin football explored using rvest and ggplot2

• Introduction to Quanteda for Semantic network analysis.

• Connecting Arduino Chips with R

R in Organizations

• Announcing new software peer review editors: Melina Vidoni and Brooke Anderson

• rOpenSci Software Peer Review: Still Improving

• How the BBC Visual and Data Journalism team works with graphics in R

• satRdays Newcastle 2019 Conference is Here!

Resources

• R-Miss-Tastic: A resource website on missing data

New Packages

? Go Live for More New Pkgs ?

CRAN

• ruimtehol - Neural Text Modelling with R package ruimtehol

• readsdmx - read SDMX data into dataframe objects

• vegawidget - render Vega-Lite and Vega specifications as htmlwidgets

• recogeo - reconcile changing geographies boundaries (and corresponding variables)

GitHub or Bitbucket

• politicaldata - acquiring and analyzing political data

• tidylog - feedback for basic dplyr operations

• arduinor - An easy way to get arduino data into R

Updated Packages

• littler 0.3.6 - command-line interface for R

• homebrewanalytics 0.2.0 - Access Homebrew Formulae Analytics Data

• benchmarkme 1.0.0 - Benchmark your system and compare with others

• urlscan 0.2.0 - An interface to the urlscan.io API

Tutorials

• Quick Hit: Using seymour to Subscribe to your Git Repo Issues in Feedly

• Never faff with trailing pipes again %>%

• Half a dozen frequentist and Bayesian ways to measure the difference in means in two groups

• Comparing free geocoding engines

• How to leverage AWS, H2O and purrr in R to build analytical pipelines

• Start and Pause in a Streaming Plot using plotly

• Tips on designing hex stickers for #rstats packages

• What the world agrees with

• 10 Tips for Choosing the Optimal Number of Clusters

• Building Big Shiny Apps — A Workflow 1/2

• Mathematical Notation in Online R/exams

• EnTyrely Too Much

• Puzzle Solving: Dominosa

• Problems in Estimating GARCH Parameters in R (Part 2; rugarch)

• Interacting with The Demographic and Health Surveys (DHS) Program data

• Interleaving vectors and matrices

• Watch if R is running from Shiny

• Fast Static Maps Built with R

• missing digit in a 114 digit number (a Riddler’s riddle)

• Computational Bayesian Statistics (book review)

• Tutorial: Sequential Pattern Mining in R for Business Recommendations

• R Markdown: 3 sources of reproducibility issues and options how to tackle them

• Visualize geographical areas around points of interest with leaflet

• Benchmarking an Rstats workstation on realistic workloads - using xgboost via h2o

• Enhancing gather() and spread() by Using “Bundled” data.frames

R Project Updates

Updates from R Core

Upcoming Events in 3 Months

Events in 3 Months:

• satRday Paris - 23rd February

• satRday Johannesburg - 6th April

• satRday Newcastle - 6th April

• 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

• satRday Johannesburg - Call for papers

Your support will keep R Weekly team moving! ?

Quotes of the Week

Okay finally got the box-and-whiskers workflow going smoothly. #Rstats #rcats pic.twitter.com/YoCBZDy1zc

— Jasmine Hughes (@Jas_Hughes) January 31, 2019

Rich people think they are middle class. No one believes to belong to the Top 10% in Austria.

Thanks to the #rstats-Community for these excellent packages #dplyr #ggplot2 #gganimate @hadleywickham @thomasp85 cc @dataandme

R-Code for the graph: https://t.co/lRyaEvpWec pic.twitter.com/eNJ4rTpAMZ

— Matthias Schnetzer (@matschnetzer) February 2, 2019

? Neat lil' package by Benjamin Elbers…
? "tidylog: provides feedback about basic dplyr operations"
GH repo: https://t.co/V5VWgjEiPH #rstats
community thread: https://t.co/CJbwYk5KWP pic.twitter.com/1xqnacsdBz

— Mara Averick (@dataandme) January 31, 2019

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