Issue 9

25 Jul 2016

Hello and welcome to the new issue of R Weekly!

Highlight

Digested by R Weekly Members

• Improving R animated GIFs with tweenr

• NSSD Episode 19: Divide by n-1, or n-2, or Whatever - About statistical software in fMRI analyses, and the differences between software testing differences in proportions.

News & Blog Posts

Tutorials

• Top 20 R Machine Learning and Data Science packages

• Improving R animated GIFs with tweenr

• Doing #Maps with #rstats!

• RPy2: Combining the Power of R + Python for Data Science

• A budget of classifier evaluation measures

• Bulk Downloading Adobe Analytics Data

• Eclipse – an alternative to RStudio – part 1

• Performing Principal Components Regression in R

• Bayesian Bootstrap: The Movie + Some Highlights from UseR! 2016

• Networks, mazes, and R (Rmaze)

• Building OpenBLAS-based Rblas.dll for 64-bit R for Windows: R ≥ 3.3.0

• Principal Component Analysis Cluster Plots with Plotly

• Installing the additional R packages in Oracle Big Data Lite VM 4.5.0

• Spatio-Temporal Point Pattern Analysis in ArcGIS with R

• Data frame columns as arguments to dplyr functions

• Populating data frame cells with more than one value

• The trick to understanding NAs (missing values) in R

• Building R-devel on RedHat Linux 6

• BioC 2016 Conference Overview and Few Ways of Downloading TCGA Data

• Calculating Memory Requirements

R in the Real World

• SAS, R, or Python Survey 2016: Which Tool Do Analytics Pros Prefer?

• Experiences in Using R and Python in Production

• Dance of the Bayes factors

• Does sentiment analysis work? A tidy analysis of Yelp reviews

• Giving back with code - There are many reasons why you should consider writing code and making it available for public consumption.

• Exploring the diversity of Life using Rvest and the Catalog of Life

• Sustainability through Energy Load Shaping for Buildings using R

• Monte Carlo Analysis of Manning’s Equation

• dplyr and Zika – Epilogue

R in Organization

• Discover R and RStudio at JSM 2016 Chicago!

• rOpenSci News

Videos & Podcasts

• NSSD Episode 19: Divide by n-1, or n-2, or Whatever - About statistical software in fMRI analyses, and the differences between software testing differences in proportions.

• Youtube Channel for EARL Conference

Job

• 9 new R jobs from around the world

New Releases

• RcppCCTZ 0.0.5 - CCTZ is a time zone library.

• Rcpp 0.12.6 - 703 packages on CRAN now depend on Rcpp.

• pvsR 0.4 - Data retrieval from Project Vote Smart’s rich online data base on US politics.

• partools 1.1.5 - Miscellaneous utilities for parallelizing large computations.

• rplos 0.6.0 - R client for the PLoS Journals API.

• coop 0.6.0 - Fast covariance, correlation, and cosine similarity.

New Packages & Tools

• stacksurveyr - An R package with the 2016 Developer Survey Results.

• GREA - The RStudio Add-In to read ALL the data into R!

• StackLite - Dataset of Stack Overflow questions and tags.

R Project Updates

Updates from R Core.

• configure now adds a compiler switch for C++11 code, even if the compiler supports C++11 by default. (This ensures that ‘gcc’ 6.x uses C++11 mode and not its default C++14 mode.)

• There is support for compiling C++14 code in packages on suitable platforms: see Writing R Extensions for how to request this.

• Running R CMD check --as-cran with _R_CHECK_CRAN_INCOMING_REMOTE_ false now skips tests that require remote access. The remaining (local) tests typically run very quickly compared to the remote tests.

Call for Participation

• satRday! in Budapest, Hungary

Upcoming Events

• R Competition on education in South Africa 8 July - 21 August

• EARL 2016 London 13 September - 15 Septemberth
  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.
  

• eRum 2016 Poznan, Poland 12 October - 14 October
  European R users meeting (eRum) is an international conference that aims at integrating users of the R language. eRum 2016 will be a good chance to exchange experiences, broaden knowledge on R and collaborate.
  

Quote of the Week

The 1st part of R for data science (explore) is now complete: https://t.co/T1CKf2EvSJ 🎉 I'd love your comments, questions, & PRs! #rstats

— Hadley Wickham (@hadleywickham) July 22, 2016