R Weekly 2017 Issue 7

13 Feb 2017

Highlight

• Diving Into Dynamic Website Content with splashr

• A Litany of Problems With p-values

• Update on R Consortium Projects - Many great R projects coming out of R Consortium.

• Hello Ninja! Crafting a browser-based presentation and how I got (re)started with R

• Book - Biostatistics for Biomedical Research by Frank Harrell

• Large data, feature hashing and online learning (part 1) - Lessons learned from Kaggle Outbrain competition

R in the Real World

• Visualizing vehicle accidents using gganimate and ggplot2

• Analysis of 100 Million Taxi Trips in Chicago Shows Usage Declining 35% Per Year

• Large data, feature hashing and online learning (part 1) - Lessons learned from Kaggle Outbrain competition

• Job trends for R and Python

• Reproducible Finance with R: ETF Country Exposure

• Science of The Super Bowl

• Hubway Bike Share: Ridership Patterns

• Using R to study the evolution of Tennis

• Making a Beautiful Map of Spain in ggplot2

• What Programming Languages Are Used Most on Weekends?

Insights

• Any Forward Progress on p-Values?

• A Litany of Problems With p-values

• Interactive Statistical Graphics: Showing More By Showing Less

• Three Tips for Training Excel Users in R

R Internationally

• tm ou tidytext ? Introduction au text-mining avec R — English - Autotranslate

R in Organization

• Emily Robinson, from Social Scientist to Data Scientist

• How successful can an R meetup be? meet(R) in Tricity! – RSelenium and Big Data processing

• Update on R Consortium Projects - Many great R projects coming out of R Consortium.

Tutorials

• Deep Learning in R

• Diving Into Dynamic Website Content with splashr

• Hello Ninja! Crafting a browser-based presentation and how I got (re)started with R

• Scratching the Surface of Gender Biases

• R Tutorial: Visualizing Multivariate Relationships in Large Datasets

• How to create a loop to run multiple regression models

• Comparing (Fancy) Survival Curves with Weighted Log-rank Tests

• An Introduction to Spatial Econometrics in R

• Percentile Calculations in Water Quality Regulations

• Finding Optimal Number of Clusters

• Twitter sentiment analysis with Machine Learning in R using doc2vec approach

• Factor Analysis Introduction with the Principal Component Method and R

• Nice graphic? Are they taking the p…

• Naming Uncertainty by the Bootstrap

• R and SQL Server articles

• an accurate variance approximation

• From a million nested ifelses to the plater package

• Generate correlation matrices with complex survey data in R

• Strung Out On String Ops – A Brief Comparison of stringi and stringr

• Introduction to ggraph - Nodes and Layouts

Videos and Podcasts

• The R-Podcast Episode 21: Talking Rcpp and more with Dirk Eddelbuettel - The R-Podcast concludes its coverage of rstudio::conf by chatting with R Foundation member and Rcpp author Dirk Eddelbuettel!

• NSSD 32: You Have to Reinvent the Wheel a Few Times - Hilary and Roger discuss training in PhD programs, estimating the variance vs. the standard deviation, the bias variance tradeoff, and explainable machine learning.

Resources

• Book - Biostatistics for Biomedical Research by Frank Harrell - sources on GitHub

• A introduction to purrr

New Packages and Tools

• splashr - Tools to Work with the ‘Splash’ JavaScript Rendering Service in R

• FTRL - R/Rcpp implementation of the ‘Follow-the-Regularized-Leader’ algorithm

• mfe - Extracts meta-features from datasets to support the design of recommendation systems based on Meta-Learning.

New Releases

• anytime 0.2.1 - Anything to POSIXct or Date Converter

• random 0.2.6 - random provides GNU R with easy access to the true random numbers provided by random.org

• RcppArmadillo 0.7.700.0.0 - RcppArmadillo provides an interface from R to and from Armadillo.

Call for Participation

• Apply to attend rOpenSci unconf 2017! - For a fourth year running, rOpenSci is excited to announce another unconference in 2017 with a new venue in ☀ Downtown LA. We’re organizing this event to bring together scientists, developers, and open data enthusiasts from academia, industry, government, and non-profit to get together for a few days and hack on various projects.

R Project Updates

Updates from R Core:

• The maximum number of DLLs that can be loaded into R e.g. via dyn.load can now be increased by setting the environment variable R_MAX_NUM_DLLS before starting R.

• The version of LAPACK included in the sources has been updated to 3.7.0: no new routines have been added to R.

• Matrix products now consistently bypass BLAS when the inputs have NaN/Inf values. Performance of the check of inputs has been improved. Performance when BLAS is used is improved for matrix/vector and vector/matrix multiplication (DGEMV is now used instead of DGEMM).

• Loading the parallel package namespace no longer sets or changes the .Random.seed, even if R_PARALLEL_PORT is unset.

• The configure check for the zlib version is now robust to versions longer than 5 characters, including 1.2.10.

• Package tools has a new function package_native_routine_registration_skeleton() to assist adding native-symbol registration to a package. See its help and §5.4.1 of Writing R Extensions for how to use it.

• Assigning to an element of a vector beyond the current length now over-allocates by a small fraction. The new vector is marked internally as growable, and the true length of the new vector is stored in the truelength field.

• If a reference class has a validity method, validObject will be called automatically from the default initialization method for reference classes.

Upcoming Events

• SatRday #2 Conference - Cape Town, South Africa 18 Feb, 2017
  The R community and some of South Africa’s most forward thinking companies have come together to bring satRday to Cape Town.

• useR! 2017 July 4, 2017
  The annual useR! conference is the main meeting of the international R user and developer community.

More past events at R conferences & meetups.

Quotes of the Week

R 3.3.3 scheduled for March 6. Based on prior years, R 3.4.0 is likely to follow a few weeks after #rstats https://t.co/mElRzOqOtR

— David Smith (@revodavid) February 6, 2017

Announcing the release of my e-book! "Introduction to Empirical Bayes: Examples from Baseball Statistics" https://t.co/Rkbr8uWVoE #rstats pic.twitter.com/YKjfaDfj7r

— David Robinson (@drob) February 7, 2017