In case you missed them, here are some articles from September of particular interest to R users.
Norm Matloff argues that T-tests shouldn't be part of the Statistics curriculum and questions the “star system” for p-values in R.
A nice video introduction to the dplyr package and the %>% operator, presented by Kevin Markham.
An animation of police militarization in the US, created with R and open data published by the New York Times.
An overview of the miscellaneous R functions in the DescTools package.
Some guidance from Will Stanton on becoming a “data hacker” using R and Hadoop.
A tutorial on publishing ggplot2 graphics to the web with plotly.
A Shiny app that implements the Traveling Salesman problem and animates the simulating annealing algorithm behind the solution.
R code for comparing performance of machine learning models.
Presentations at DataWeek on applications of R at companies.
A graduate student uses R to look at the popularity of posts on Reddit.
Google introduces the CausalImpact package for R, and uses it to evaluate performance of marketing campaigns.
A review of several recent and upcoming conferences that include R-related tracks.
More presentations and video interviews from the useR! 2014 conference, from DataScience.LA.
A detailed Rcpp example based on the Collatz Conjecture.
Use Rmarkdown to create documents combining text, mathematics, and R graphical and tabular output.
A very early example of data analysis: Nile floods in 450 BC.
The Rockefeller Institute of Government uses R to simulate the finances of public sector pension funds.
General interest stories (not related to R) in the past month included: ET for the Atari 2600, Talk Like a Pirate day photos, a parody lifestyle magazine for data scientists and the spread of the Ice Bucket Challenge.
As always, thanks for the comments and please send any suggestions to me at [email protected]. Don't forget you can follow the blog using an RSS reader, via email using blogtrottr, or by following me on Twitter (I'm @revodavid). You can find roundups of previous months here.