Author: JottR

Got compute? future.apply 1.0.0 – Apply Function to Elements in Parallel using Futures – is on CRAN. With this milestone release, all* base R apply functions now have corresponding futurized...continue reading.

As promised – though a bit delayed – below are links to my slides and the video of my talk on Future: Parallel & Distributed Processing in R for Everyone...continue reading.

future 1.8.0 is available on CRAN. This release lays the foundation for being able to capture outputs from futures, perform automated timing and memory benchmarking (profiling) on futures, and more....continue reading.

x[idxs + 1] or x[idxs + 1L]? That is the question. Assume that we have a vector $x$ of $n = 100,000$ random values, e.g. > n <- 100000 >...continue reading.

New release: startup 0.10.0 is now on CRAN. If your R startup files (.Renviron and .Rprofile) get long and windy, or if you want to make parts of them public...continue reading.

The future package defines the Future API, which is a unified, generic, friendly API for parallel processing. The Future API follows the principle of write code once and run anywhere...continue reading.

Today, its been 20 years since Martin Mächler started the R-help community list. The first post was written by Ross Ihaka on 1997-04-01: Screenshot of the very first post to...continue reading.

doFuture 0.4.0 is available on CRAN. The doFuture package provides a universal foreach adaptor enabling any future backend to be used with the foreach() %dopar% { … } construct. As...continue reading.

future 1.3.0 is available on CRAN. With futures, it is easy to write R code once, which the user can choose to evaluate in parallel using whatever resources s/he has...continue reading.

The startup package makes it easy to control your R startup processes and to share part of your startup settings with others (e.g. as a public Git repository) while keeping...continue reading.

A new version of the future.BatchJobs package has been released and is available on CRAN. With a single change of settings, it allows you to switch from running an analysis...continue reading.

A new version of the future package has been released and is available on CRAN. With futures, it is easy to write R code once, which later the user can...continue reading.

Unless you count DSC 2003 in Vienna, last week’s useR conference at Stanford was my very first time at useR. It was a great event, it was awesome to meet...continue reading.

The matrixStats package provides highly optimized functions for computing common summaries over rows and columns of matrices. In a previous blog post, I showed that, instead of using apply(X, MARGIN...continue reading.

Another 1,000 packages were added to CRAN, which took less than 9 months. Today (August 12, 2015), the Comprehensive R Archive Network (CRAN) package page reports: “Currently, the CRAN package...continue reading.

If your native code takes more than a few seconds to finish, it is a nice courtesy to the user to check for user interrupts (Ctrl-C) once in a while,...continue reading.

We are pleased to announce our proposal ‘Subsetted and parallel computations in matrixStats’ for Google Summer of Code. The project is aimed for a student with experience in R and...continue reading.

Ever wanted to include a plain-LaTeX vignette in your package and have it compiled into a PDF? The R.rsp package provides a four-line solution for this. But, first, what’s R.rsp?...continue reading.

A new release 0.13.1 of matrixStats is now on CRAN. The source code is available on GitHub. What does it do? The matrixStats package provides highly optimized functions for computing...continue reading.

Another 1,000 packages were added to CRAN and this time in less than 12 months. Today (2014-10-29) on The Comprehensive R Archive Network (CRAN) package page: “Currently, the CRAN package...continue reading.