Issue 28

05 Dec 2016

Hello and welcome to the new issue of R Weekly!

Highlight

Digested by R Weekly Members

• Analysis of software developers in New York, San Francisco, London and Bangalore

• Announcing bookdown: Authoring Books and Technical Documents with R Markdown

Tutorials

• NHL shots analysis using Plotly shapes

• How to write and document %special% functions in R

• Simulation in R For AP Statistic

• Extract Twitter Data Automatically using Scheduler R package

• Jupyter And R Markdown: Notebooks With R

• How to create a ggplot Theme - Unicorn Edition

• Be careful evaluating model predictions

• Writing Good R Code and Writing Well

• Creating GeoJSON out of Shapefile in R

• Extracting Tables from PDFs in R using the Tabulizer Package

• Extreme Gradient Boosting and Preprocessing in Machine Learning – Addendum to predicting flu outcome with R

• ratio-of-uniforms [#4]

• RStudio in the cloud with Amazon Lightsail and docker

• Efficiently Saving and Sharing Data in R

• How to send bulk email to your students using R

• The hourly heatmap with ggplot2

• Missing Values, Data Science and R

• ggplot2: multiple legends for the same aesthetic

• Bill and Ted Make the best out of a Shi… Stata situation: Rstudio + Rstata + Stata

• More about Flexible Frequency Models

• Error, trend, seasonality – ets and its forecast model friends

• Building a column selecter

R in the Real World

• How many Authors does the Prime Minister have for his speeches: A Stylometric Analysis

• Can we predict flu deaths with Machine Learning and R?

• Seasonal Analysis in EGRET

• Daily metric tracking with ggplot2

• Plotting my trips with ubeR

• An Analysis of Contributions to PubMed Commons

• The Effective Number of Parties in the Electorate by Year and Region

• On the German Tank / Taxicab Problem

• Replicating NYT Weather App

• Some Technical Reading

• Analysis of software developers in New York, San Francisco, London and Bangalore

• Heatmaps with Divvy Data

International R

• R & les expressions régulière — English (auto-translate)

R in Organization

• Free online course: Analyzing big data with Microsoft R Server

• Announcing bookdown: Authoring Books and Technical Documents with R Markdown

• Working at RStudio

• Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

• Using R to Gain Insights into the Emotional Journeys in War and Peace

R in Academia

• vtreat data cleaning and preparation article now available on arXiv

Videos and Podcasts

• DataChats: An interview with Garrett Grolemund
• PLOTCON 2016 on Youtube

Resources

• Learn to Analyze Big Data with R - Free Course
• Learning R programming by reading books: A book list #rstats
• The Hitchhiker’s Guide to Ggplot2 in R

New Packages and Tools

• pushoverr - R Phone Home: Notifications with pushoverr
• fauxpas - HTTP conditions package
• elasticsearchr - a Lightweight Elasticsearch Client for R
• subprocess - A new subprocess package for #RStats
• ggguitar - This package allows you to create guitar tablature in the style of ggplot2.
• Santa’s Little Helper – a function for randomly assigning Secret Santa presents
• datapasta - Datapasta provides three Rstudio addins that give you complete freedom copy and paste data into your RStudio scource editor.

• commonmark - High Performance CommonMark and Github Markdown Rendering in R

• pdfsearch - pdfsearch adds the ability to do keyword searches on pdf files.

• BERT - a newcomer in the R Excel connection

New Releases

• Microsoft R Open 3.3.2 - Microsoft’s distribution of open source R.
• D3PartitionR 0.3.0 - Plotting D3 Hierarchical Plots in R and Shiny
• anytime 0.1.1 - anytime is a very focussed package aiming to convert anything in integer, numeric, character, factor, ordered … format to POSIXct (or Date) objects.

R Project Updates

Updates from R Core.

• Check customization via environment variables to detect side effects of .Call() and .External() calls which alter their arguments is described in §8 of the R Internals manual.

• The Just In Time byte code compiler is now enabled by default at level 3. For now, the compiler will not compile code containing explicit calls to browser(): this is to support single stepping from the browser() call.

• JIT compilation can be disabled using compiler::enableJIT(0) or by setting environment variable R_ENABLE_JIT to 0.

Upcoming Events

• rstudio::conf 2017 January 13 and 14, 2017
  The conference about all things R and RStudio.
  

Quote of the Week

I did a statistical study (N=2) about saving factory jobs. R^2=1. Clear evidence that we're on the right track. #Rstats #ggplot2 #badstats pic.twitter.com/e1er8kO90Y

— Lego Grad Student (@legogradstudent)

use ggmissing and visdat to let your coauthors LITERALLY see what they are missing #rstats by @nj_tierney pic.twitter.com/Vz8if3bG83

— Andrew MacDonald (@polesasunder)