Issue 18

26 Sep 2016

Hello and welcome to the new issue of R Weekly!

Highlight

Digested by R Weekly Members

• Quora Session with Hadley Wickham

• A Gentle Introduction to XGBoost for Applied Machine Learning

News & Blog Posts

Tutorials

• Learning Path : Step by Step Guide for Beginners to Learn SparkR

• Analyzing Risk-Managed Funds With R

• How to choose the right tool for your data science project

• R Markdown: How to number and reference tables

• Relative error distributions, without the heavy tail theatrics

• An R Function for Generating Authenticated URLs to Private Web Sites Hosted on AWS S3

• ggtree for outbreak data

• Running a model on separate groups

• Running multiple simple regressions with purrr

• A few thoughts on the existing code parallelization

• How to add pbapply to R packages

• prcomp and svd for Principle Component Analysis (PCA)

• A gentle introduction to random forests using R

• Overview GAMM analysis of time series data

• R tutorial on the Apply family of functions

• Quora Session with Hadley Wickham

• A Gentle Introduction to XGBoost for Applied Machine Learning

R in the Real World

• Angular vs React : text analysis of commit messages

• Divided States of America - This analysis investigates several red-blue stereotypes popular in the media and measures how well they align with the actual voting patterns.

• A decade (ish) of listening to Sigur Rós - I visualized data on my history of listening to Sigur Rós with R.

• A Fun Gastronomical Dataset: What’s on the Menu? - I’ll use the data from “What’s on the menu” project to plot the popularity of some foods over time.

• Welcome to the Tidyverse

• Leading Cities in #rstats Twipermipeds

• One year of R / Notes

• Running a model on separate groups

• Analyzing World Bank data with WDI, googleVis Motion Charts

• Analyzing Stack Overflow questions and tags with the StackLite dataset

• Analysing the US election using Youtube data

• Are we really facing an unprecedented migrant crisis?

• New Zealand Election Study individual level data

R in Organization

• Linux Data Science Virtual Machine: new and upgraded tools

• Reflections on EARL London 2016

• Microsoft R at the EARL Conference

R in Academia

• Prediction Interval: What to Expect When You’re Expecting … A Replication

Jobs

• 10 new jobs for R users – from around the world (2016-09-20)

Video and Podcast

• YaRrr! The Pirate’s (video) Guide to R

Resources

• Learn Data Science - Resources for Python & R

• Book - YaRrr! The Pirate’s Guide to R

• Learning Statistics on Youtube

New Releases

• Shiny Server (Pro) 1.4.6 - A platform on which you can host multiple Shiny applications.

New Packages & Tools

• vecpack 0.1 - An R package for packing stuff into vectors.

• tint 0.0.1 - An alternative for Tufte-style html presentation.

R Project Updates

Updates from R Core.

• as.character.factor() respects S4 inheritance when checking the type of its argument.

• There was an exception for the native Solaris C++ compiler to the dropping (in R 3.3.0) of legacy C++ headers from headers such as R.h and Rmath.h - this has now been removed. That compiler has strict C++98 compliance hence does not include extensions in its (non-legacy) C++ headers, so some packages will need to request C++11 or replace non-C++98 calls such as lgamma: see §1.6.4 of Writing R Extensions.

• Entry points R_MakeExternalPtrFn and R_ExternalPtrFn are now declared in Rinternals.h to facilitate creating and retrieving an R external pointer from a C function pointer without ISO C warnings about the conversion of function pointers.

• c()’s argument use.names is documented now.

• strcapture() no longer fixes column names nor coerces strings to factors.

• strcapture() returns NA for non-matching values in x.

• R CMD build and R CMD check now use the _union_ of R_LIBS .libPaths(). They may not be equivalent, e.g., when the latter is determined by R_PROFILE.

Upcoming Events

• 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

Am I dreaming? It seems that @rstudio 1.0.20 has built in equation previewing for R markdown documents 👍👍👍 #rstats #LaTeX #verynice pic.twitter.com/sEQHlQgD91

— Maxwell Joseph (@mxwlj) September 21, 2016

Speaking of failing R packages. WTF jsonlite!!! pic.twitter.com/dPomlEAYWi

— gregor aisch (@driven_by_data) September 20, 2016

Didn't realize you could CTRL + click a function in @rstudio to go directly to a function definition. Very useful. #rstats

— Zev Ross (@zevross) September 20, 2016