Issue 23

31 Oct 2016

Hello and welcome to the new issue of R Weekly!

Highlight

Digested by R Weekly Members

• R-hub, the R package-building service

News & Blog Posts

Tutorials

• How to use the Apply function in R

• Advanced Analytics with Power BI Embedded and R

• A quick exploration of the ReporteRs package

• ReporteRs: Manager-friendly Word or Powerpoint documents created with R

• News from archivist 2.0 on eRum2016 conference

• Plotting individual observations and group means with ggplot2

• facet_plot: a general solution to associate data with phylogenetic tree

• Better Confidence Intervals for Quantiles - We discuss the computation of confidence intervals for the median or any other quantile in R.

• A quick look at RStudio’s R notebooks

• Set Application Domain Name with Shiny Server

• A new data processing workflow for R: dplyr, magrittr, tidyr, ggplot2 (2015)

R in the Real World

• How Taking the Bus Is A London Thing

• Londoners Take the Bus Far More Often Than the Rest of England (Adjusted for Population)

• Asylum Seekers Are Usually Housed Away from London and the South East (Unless They Are Unaccompanied Children)

• Election 2016: Tracking Emotions with R and Python

• FiveThirtyEight’s polling data for the US Presidential election

• Comparing Symmetric Eigenvalue Performance

• Book Review: Computer Age Statistical Inference

• How long until an R portfolio makes money?

• Sharing our R Programs — With Style

• Data science for executives and managers

• Digital Transformation - a German perspective

• Is Hillary Clinton a Progressive? An Investigation Using Statistical Methods

R in Organization

• Scaling the Heights of Data Science - rOpenSci moves mountains of data to transform environmental research

• Free e-book: Data Science with SQL Server 2016

• Introducing R-hub, the R package builder service

Video and Podcast

• NSSD 25: How Exactly Do You Pronounce SQL? - Go through the overflowing mailbag to respond to listener questions. Topics include causal inference in trend modeling, regression model selection, using SQL, and data science certification.

• R-hub, the R package-building service

New Releases

• R 3.3.2 Sincere Pumpkin Patch

• future 1.1.1 - Remote Processing Using Futures.

• simmer 3.5.0 - simmer is a process-oriented and trajectory-based Discrete-Event Simulation (DES) package for R. Designed to be a generic framework like SimPy or SimJulia.

• Rblpapi 0.3.5 - Rblpapi provides a direct interface between R and the Bloomberg Terminal via the C++ API provided by Bloomberg Labs.

• RcppArmadillo 0.7.500.0.0 - RcppArmadillo integrates this library with the R environment and language–and is widely used by (currently) 274 other packages on CRAN.

New Packages & Tools

• September Package Picks

• JMbayes - Multivariate Joint Models for Multiple Longitudinal Outcomes and a Time-to-Event.

• rsparkling - Sparkling Water (H2O) Machine Learning. This package provides bindings to H2O’s distributed machine learning algorithms via sparklyr.

• tilegramsR - R wrapper for Tilegrams.

• Housing Market Analyzer - This Android application is a hybrid web app, built with R shiny.

• prettyB - Prettified base graphics. All plotting functions work exactly as before, with the same inputs. The difference is that the defaults have been changed.

Upcoming Events

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

Quote of the Week

"It's easier to make an error if I am not using Rcpp"
-- @GaborCsardi , right now in the (wicked) R Hub presentation

— Dirk Eddelbuettel (@eddelbuettel)