R Weekly 2017-34

Release Date: 2017-08-21

Highlight

Insights

R in the Real World

• A tidytext + web scraping RStudio blog posts - I’ve decided to analyze the 240+ blog posts that RStudio has put out since 2011

• I made a 3D movie with ggplot2 once - here’s how I did it

• R⁶ — Exploring macOS Applications with codesign, Gatekeeper & R

• Oil leakage… those old BMW’s are bad :-)

• Treating your data: The old school vs tidyverse modern tools

• Estimating Gini coefficient when we only have mean income by decile

Clusters in beer by alcohol, bitterness, color

R in Academia

R Internationally

Videos and Podcasts

R in Organizations

• rstudio::conf(2018): Contributed talks, e-posters, and diversity scholarships

• 20 years of the R Core Group

• Fantasy Football Analytics 2017 App Update

Resources

New Packages

📦 Go Live for More New Pkgs 📦

• rrtools - Tools for Writing Reproducible Research in R

• blastula - Easily send great-looking HTML email messages from R

• colorblindr - Simulate colorblindness in production-ready R figures.

• ghibli - Studio Ghibli Palette Generator

• fitur - Fit Univariate Distributions

• banR - R Client for the BAN API

• GoTr - R wrapper for An API of Ice And Fire

• dbplot - Simplifies plotting of database and sparklyr data

Package Releases

• text2vec 0.5 - Fast vectorization, topic modeling, distances and GloVe word embeddings in R.

• tidyr 0.7.0

• RProtoBuf 0.4.10

• Magick 1.0 - 🎩 ✨🐇 Advanced Graphics and Image Processing in R

• RcppArmadillo 0.7.960.1.0

• Fiery 1.0 - When A Fire Starts to Burn

• Shiny 1.0.4 - file inputs now support dragging and dropping

Tutorials

• Starting a Rmarkdown Blog with Bookdown + Hugo + Github

• RStudio 1.1 Preview - Data Connections

• Advantages of Using R Notebooks For Data Analysis Instead of Jupyter Notebooks

• How to Make High Quality Data Visualizations for Websites With R and ggplot2

• #9: Compacting your Shared Libraries

• R6 and shared objects

• A Stan case study, sort of: The probability my son will be stung by a bumblebee

• Because it’s Friday: The Shepard Tone

• Parse an Online Table into an R Dataframe – Westgard’s Biological Variation Database

• Heat maps with Divvy data 2

• Shinydashboards from right to left (localizing a shinydashboard to Hebrew)

• Reproducibility: A cautionary tale from data journalism

• End-to-end visualization using ggplot2

• set_na_where(): a nonstandard evaluation use case

• Buzzfeed trains an AI to find spy planes

• Looking at Melbourne Housing Prices using shinydashboard

• Reshaping and tidying data from awkward spreadsheet formats

• How to build an image recognizer in R using just a few images

• Update on Our ‘revisit’ Package

• Visualizations with R and Databases

• Tesseract and Magick: High Quality OCR in R

• Simpson’s Rule for Approximating Definite Integrals in R

• RStudio Server Pro is ready for BigQuery on the Google Cloud Platform

• Obstacles to performance in parallel programming

• Chapman University DataFest Highlights

Gist & Cookbook

R Project Updates

Updates from R Core:

• Internal C-level R_check_class_and_super() and hence R_check_class_etc() now also consider non-direct super classes and hence return a match in more cases. This e.g., fixes behaviour of derived classes in package Matrix.

• pretty(x, n=<large>) now works better (though it was never meant for large n); internally it uses the same rounding fuzz (1e-10) as seq.default() - as it did up to 2010-02-03 when both were 1e-7.

• arithmetic with zero-column data frames now works more consistently; issue raised by Bill Dunlap.

Upcoming Events

• RStudio conf 2018 January 31 to February 3
  rstudio::conf is about all things R and RStudio! Register & More infos

• R/Finance 2018 June 1 and 2
  Applied Finance with R. More info

• useR! 2018 July 10, 2018
  The annual useR! conference is the main meeting of the international R user and developer community.

More past events at R conferences & meetups.

Datasets

Jobs

Call for Participation

Your support will keep R Weekly team moving! 💡

Quotes of the Week

My #rstats learning path:

1. Install R
2. Install RStudio
3. Google "How do I [THING I WANT TO DO] in R?"

Repeat step 3 ad infinitum.

— Jesse Maegan (@kierisi) August 18, 2017

It was twenty years ago today, Ross Ihaka got the band to play.... #rstats pic.twitter.com/msSpPz2kyA

— Peter Dalgaard (@pdalgd) August 16, 2017

What #rstats tricks did it take you way too long to learn? One of mine is using readRDS and saveRDS instead of repeatedly loading from CSV

— Emily Riederer (@EmilyRiederer) August 19, 2017