In case you missed it: June 2015 roundup
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In case you missed them, here are some articles from June of particular interest to R users.
The R Consortium, a trade group dedicated to the support and growth of the R Community, has launched with the R Foundation, Microsoft, RStudio and others as founding members.
A detailed FAQ for fitting Generalized Linear Models in R.
My presentation on Microsoft’s embrace of R, both in supporting the open-source R community, and connecting R with Microsoft platforms.
Packages for analyzing the RStudio CRAN logs, used to calculate the top 100 R packages by downloads.
Counting the number of packages on CRAN by platform.
Getting data into and out of R applications with DeployR.
A review of the various options for using R with Hadoop.
Using R to search for CRAN packages by topic area.
R code to draw the Archimedes Spiral.
A controversial caution about using only pairwise-complete observations when calculating correlation/covariance matrices in R.
You can use the RBlpapi package to access Bloomberg data with R.
SparkR, a package to use the Spark distributed-computing framework from R, is now part of the Apache Spark project.
An interactive map locates the 160+ R user groups around the world.
R has 64-bit objects, but there are constraints having only 32-bit integers.
R is sometimes called a quirky language, but I argue that these design decisions have directly led to many innovations in statistical computing.
R and BioConductor were featured at “BUILD” (Microsoft’s developer conference in San Francisco), shown being called on-stage from a mobile app.
A review of some of the presentations at R/Finance 2015 in Chicago.
Using the rpud package to calculate distance matrices using the GPU in R.
A tutorial on using Azure as a data source for R.
A comparison of several high-performance computing approaches in R.
General interest stories (not related to R) in the past month included: planning A/B tests, a critique of US state flags, a new type of bearing, a warning about drop bears and a visual comparison of the Game of Thrones books and TV series.
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