Issue 6

04 Jul 2016

Hello and welcome to the new issue of R Weekly!

Highlight

Digested by R Weekly Members

• R Weekly useR! 2016 Edition - useR! 2016 slides and related resources.

• Happy Git and GitHub for the useR

• R package primer - a minimal tutorial.

• sparklyr - R interface for Apache Spark.

• dplyr 0.5 - This is a big release with a heap of new features and many bug fixes.

R Community Updates

News & Blog Posts

Tutorials

• Making “Time Rivers” in R

• How to write good tests in R

• Boost Your Data Munging with R

• Identify method for ggtree

• How to use R for matching samples (propensity score)

• Custom Templated as and wrap Functions within Rcpp.

• Introducing Rcpp::algorithm

R in the Real World

• 40 years of investing returns in the S&P500, with dividends and inflation, based on historical data

• Shifting Incomes for American Jobs

• Fixing R’s design flaws in a new version of pqR

• WriteR - IDE accessible to blind

• The Datathon and how to make the most of it

• A Preview of My Talk for the Data Science Africa Workshop organized by the United Nations

• Which countries have Regrexit?

• Did the weather affect the #Brexit vote?

• Update: Predictive Bookmaker Consensus Model for the UEFA Euro 2016

• Project TIER - Making your research reproducible with Project TIER, R, and GitHub.

• Fixing R’s design flaws in a new version of pqR

R in Organization

• Join us at rstudio::conf 2017!

• Apache Spark integrated with Microsoft R Server for Hadoop

Videos & Podcasts

• R for Publication by Page Piccinini: Lesson 6, Part 1 – Linear Mixed Effects Models

Resources

• R for Data Science book by Garrett Grolemund and Hadley Wickham.

• R package primer - a minimal tutorial

New Releases

• validate version 0.1.5
• dplyr version 0.5
• future 1.0.0 with future.BatchJobs 0.12.1 and doFuture 0.2.0

New Packages & Tools

• RStudio Preview Release v0.99.1246 now includes support for Notebooks

• citr - RStudio addin for interactively adding BibTeX citations

• RMarkdown and Mtheme

• sparklyr - R interface for Apache Spark. Docs page is here.

• simcausal - Simulating Longitudinal and Network Data with Causal Inference Applications. Extensive vignette is here.

• tmlenet - Targeted Maximum Likelihood Estimation for Network Data.

• stremr - Streamlined Estimation of Survival for Static, Dynamic and Stochastic Treatment and Monitoring Regimes.

Call for Participation

• satRday! in Budapest, Hungary

Upcoming Events

• EARL 2016 London September 13th-15th
  The primary focus of the Conference is the commercial usage of R across a range of industry sectors with the aim of sharing knowledge and applications of the language.
  

useR! 2016

You can also read the up to date R Weekly UseR! 2016 Edition.

Resources

• useR! 2016 Home Page

• Full Schedule

• Video Stream for June 30

• Videos on Channel 9 (upcoming)

Blog Posts

• The useR! 2016 Tutorials

• Using R with the Stanford Digital Repository

Tutorials

• Happy Git and GitHub for the useR - book

• Machine Learning Algorithmic Deep Dive - resources

• Extracting data from the web APIs and beyond - resources

• MoRe than woRds, Text and Context: Language Analytics in Finance with R - slides

• Time-to-Event Modeling as the Foundation of Multi-Channel Revenue Attribution - resources

• Never Tell Me the Odds! Machine Learning with Class Imbalances - resources

• Genome-Wide Association Analysis and Post-Analytic Interrogation with R - part 1, part 2

• Effective Shiny Programming - resources

• Handling and Analyzing Spatial, Spatiotemporal and Movement Data - slides

• Regression Modeling Strategies and the rms Package - wiki, notes

• Intermediate R Markdown tutorial - examples, etherpad notes

• Using R with Jupyter Notebooks for Reproducible Research - resources

• Details on UseR! 2016 Home Page

Visualization

• shinyjs: improve the user experience in your Shiny apps by Dean Attali

• rbokeh - A Simple, Flexible, Declarative Framework for Interactive Graphics

• Practical tools for exploratory web graphics

R in the Real World

• Chicago food inspection data analysis

• Modeling Food Policy Decision Analysis with an Interactive Bayesian Network in Shiny

• Automated Clinical Research Tracking and Assessment Using R-Shiny

Data

• Broom: Converting Statistical Models to Tidy Data Frames

• Data validation infrastructure: the validate package

• Size of Datasets for Analytics and Implications for R

• Efficient tabular data ingestion and manipulation with MonetDBLite

• Importing Modern Data into R

• Efficient in-memory non-equi joins

Tools

• Authoring Books with R Markdown

• flexdashboards - Easy interactive dashboards for R

• A Future for R

• R AnalyticFlow 3: Interactive Data Analysis GUI for R

Teaching

• A first-year undergraduate data science course

• Slides from Integrated R labs for high school students #user2016 talk

R & Other Languages

• Can R learn from Julia

• Slides and other resources for RcppParallel talk

• sparklyr Demo for UseR! 2016

Web

• R Web APIs Intro

• Crosstalk Demo by Joe Cheng

Packages Development

• R/qtl: Just barely sustainable

Machine Learning and Statistics

• Deep learning in R using MXNet

• useR! Machine Learning Tutorial

• R in BI and Streaming Applications for useR 2016

• Simulation and power analysis of generalized linear mixed models

• mlrMBO: A Toolbox for Model-Based Optimization of Expensive Black-Box Functions

• xgboost: An R package for Fast and Accurate Gradient Boosting

• Causal inference in social network data

Quote of the Week

2 of the 5 original authors of S were women #rstats #user2016

— Hadley Wickham (@hadleywickham) June 28, 2016

So true: "The amount of Git skilz necessary to fix a borked up repo is an order of magnitude bigger than to bork it." @JennyBryan #useR2016

— Mine CetinkayaRundel (@minebocek) June 27, 2016

Putting this to rest once and for all.. SAS is not required for FDA approval /cc @rdpeng #useR2016 #TheMoreYouKnow pic.twitter.com/M0QWlG6RRL

— Hilary Parker (@hspter) June 29, 2016

The reason behind #rstats assignment arrow <- was a dedicated key on the keyboard #useR2016 pic.twitter.com/xPwYx7tpQb

— Jasmine Dumas (@jasdumas) June 28, 2016

Jonathan Godfrey showing us how he uses a Braille keyboard to develop R code. Just amazing. #rstats #useR2016 pic.twitter.com/zYUFOeJXmY

— David Robinson (@drob) June 28, 2016