R 3.4.0 Performance Improvements

Kevin Feasel

2017-02-17

R

David Smith discusses performance improvements upcoming in R 3.4.0:

A “just-in-time” JIT compiler will be included. While the core R packages have been byte-compiled since 2011, and package authors also have the option of btye-compiling the R code they contain, it was tricky for ordinary R users to gain the benefits of byte-compilation for their own code. In 3.4.0, loops in your R scripts and functions you write will be byte-compiled as you use them (“just-in-time”), so you can get improved performance for your R code without taking any additional actions.

Stay tuned for the release.

Related Posts

The Lesser-Known Apply Functions In R

Andrew Treadway covers a few of the lesser-known apply functions in R: rapply Let’s start with rapply. This function has a couple of different purposes. One is to recursively apply a function to a list. We’ll get to that in a moment. The other use of rapply is to a apply a function to only those elements in […]

Read More

Controlling Azure Services In R With AzureR

Hong Ooi announces a new set of packages called AzureR: As background, some of you may remember the AzureSMR package, which was written a few years back as an R interface to Azure. AzureSMR was very successful and gained a significant number of users, but it was never meant to be maintainable in the long term. As […]

Read More

Categories

February 2017
MTWTFSS
« Jan Mar »
 12345
6789101112
13141516171819
20212223242526
2728