Issue 1

30 May 2016

Hello and welcome to the new issue of R Weekly!

R Community Updates

News & Blog Posts

Tutorials

• The R Data I/O Shootout

• Jupyter and conda for R

• R for web analysts

• Interactive Heat Maps for R

• Use H2O and data.table to build models on large data sets in R

• Taking your data to go with R packages

• a Little Book of R for Bayesian Statistics

R in the Real World

• Understanding Bayesian A/B testing (using baseball statistics)

• Visual contrast of two robust regression methods

• Win, Lose, or Draw: where and why do NBA fans spend their money?

• Data sanity checks: Data Proofer (and R analogues?)

• Improving your average: using R to beef up Average Time on Page

• Predictive Maintenance for Aircraft Engines

• Integrating R with Apache Hadoop

• Using R and Python for Common SAS Functions

R in Academia

• Paper: How the R Community Creates and Curates Knowledge

• rOpenSci Biweekly

Videos & Podcasts

• NSSD Episode 16 - The Silicon Valley Episode.

• Hadley Wickham: Managing many models with R

• New York R Conference: Videos + Presentation

New Releases

• Microsoft R Open 3.2.5 now available

• OpenCPU release 1.6

• flexdashboard: Easy interactive dashboards for R

• Profiling with RStudio and profvis

• Data visualization in social sciences – what`s new in the sjPlot-package?

• topicmodels release 0.2-4 : Issues concerning memory deallocation in the C++ code were fixed.

• rio release 0.4.6 : A Swiss-Army Knife for Data I/O. Now supports feather

• quanteda release 0.9.6-9

• gamlss: Generalised Additive Models for Location Scale and Shape.

New Packages & Tools

• feather on CRAN - Read and write feather files, a lightweight binary columnar data store designed for maximum speed.

• largeVis - High-Quality Visualizations of Ultra-Large, High-Dimensional Datasets.

• ggnet2 - Network Visualization with ggplot2.

• roll on CRAN - Parallel functions for computing rolling statistics of time-series data.

• rfmt - Google R source code formatter with Python.

• tmap - R package for thematic maps.

• surveyplanning - Tools for sample survey planning, including sample size calculation, estimation of expected precision for the estimates of totals, and calculation of optimal sample size allocation.

• tidytext - Text mining using dplyr, ggplot2, and other tidy tools.

• crtests - Classification and Regression Tests.

• recommenderlab - Lab for Developing and Testing Recommender Algorithms. The Author of arules.

• bastah on CRAN - Big Data Statistical Analysis for High-Dimensional Models.

• weathermetrics on CRAN - Functions to Convert Between Weather Metrics.

• tweenr - Interpolate your data between different states.

R Project Updates

Updates from R Core.

1. identical() gets an ignore.srcref option which drops "srcref" and similar attributes when true (as by default).

2. diag(x, n=.) now preserves typeof(x), also for logical, integer and raw x (and as previously for complex and numeric).

3. diag(x, nrow = n) now preserves typeof(x), also for logical, integer and raw x (and as previously for complex and numeric).

4. smooth.spline() now allows to specify lambda directly, gets a hatvalues() method and keeps tol in result.

5. str() and strOptions() get a new option drop.deparse.attr with improved but changed default behaviour for expressions. For expression objects x, str(x) now may remove extraneous white space and truncate long lines.

Call for Participation

No tasks listed for this week.

Upcoming Events

• 2016 useR! Stanford - The R User Conference 2016
  June 27 - June 30
  The schedule for #user2016 is now live: http://schedule.user2016.org

Jobs

No jobs listed for this week.

Quote of the Week

A beginner’s guide to big data terminology

R is a horribly named programming language that works with statistical computing.