r (76)
- Set Package Repositories at Startup - September 27, 2012
- Force R Help HTML Server to Always Use the Same URL Port - October 22, 2012
- Speed Trick: unlist(..., use.names=FALSE) is Heaps Faster! - January 7, 2013
- This Day in History (1997-04-01) - April 1, 2013
- Speed Trick: Assigning Large Object NULL is Much Faster than using rm()! - May 25, 2013
- Performance: captureOutput() is Much Faster than capture.output() - May 26, 2014
- Pitfall: Did You Really Mean to Use matrix(nrow, ncol)? - June 17, 2014
- Milestone: 6000 Packages on CRAN - October 29, 2014
- Package: matrixStats 0.13.1 - Methods that Apply to Rows and Columns of a Matrix (and Vectors) - January 25, 2015
- How to: Package Vignettes in Plain LaTeX - February 21, 2015
- To Students: matrixStats for Google Summer of Code - March 12, 2015
- Performance: Calling R_CheckUserInterrupt() Every 256 Iteration is Actually Faster than Every 1,000,000 Iteration - June 5, 2015
- Milestone: 7000 Packages on CRAN - August 12, 2015
- matrixStats: Optimized Subsetted Matrix Calculations - December 16, 2015
- A Future for R: Slides from useR 2016 - July 2, 2016
- Remote Processing Using Futures - October 11, 2016
- High-Performance Compute in R Using Futures - October 22, 2016
- Start Me Up - December 22, 2016
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages - March 18, 2017
- The R-help Community was Started on This Day 20 Years Ago - April 1, 2017
- The Many-Faced Future - June 5, 2017
- Startup with Secrets - A Poor Man's Approach - March 30, 2018
- Performance: Avoid Coercing Indices To Doubles - April 2, 2018
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
- R.devices - Into the Void - July 21, 2018
- future 1.9.0 - Output from The Future - July 23, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- Parallelize a For-Loop by Rewriting it as an Lapply Call - January 11, 2019
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- startup - run R startup files once per hour, day, week, ... - May 26, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- e-Rum 2020 Slides on Progressr - July 4, 2020
- future and future.apply - Some Recent Improvements - July 11, 2020
- Detect When the Random Number Generator Was Used - September 21, 2020
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- Trust the Future - November 4, 2020
- parallelly, future - Cleaning Up Around the House - November 4, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
- NYC R Meetup: Slides on Future - November 12, 2020
- My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020 - December 19, 2020
- future.BatchJobs - End-of-Life Announcement - January 8, 2021
- Using Kubernetes and the Future Package to Easily Parallelize R in the Cloud - April 8, 2021
- parallelly 1.25.0: availableCores(omit=n) and, Finally, Built-in SSH Support for MS Windows 10 Users - April 30, 2021
- parallelly 1.26.0: Fast, Concurrent Setup of Parallel Workers (Finally) - June 10, 2021
- progressr 0.8.0: RStudio's Progress Bar, Shiny Progress Updates, and Absolute Progress - June 11, 2021
- matrixStats: Consistent Support for Name Attributes via GSoC Project - August 23, 2021
- parallelly 1.29.0: New Skills and Less Communication Latency on Linux - November 22, 2021
- Future Improvements During 2021 - January 7, 2022
- future 1.24.0: Forwarding RNG State also for Stand-Alone Futures - February 22, 2022
- parallelly 1.31.1: Better at Inferring Number of CPU Cores with Cgroups and Linux Containers - April 22, 2022
- progressr 0.10.1: Plyr Now Supports Progress Updates also in Parallel - June 3, 2022
- parallelly 1.32.0: makeClusterPSOCK() Didn't Work with Chinese and Korean Locales - June 8, 2022
- parallelly: Support for Fujitsu Technical Computing Suite High-Performance Compute (HPC) Environments - June 9, 2022
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- Please Avoid detectCores() in your R Packages - December 5, 2022
- progressr 0.13.0: cli + progressr = ♥ - January 10, 2023
- parallelly 1.34.0: Support for CGroups v2, Killing Parallel Workers, and more - January 18, 2023
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- %dofuture% - a Better foreach() Parallelization Operator than %dopar% - June 26, 2023
- parallelly: Querying, Killing and Cloning Parallel Workers Running Locally or Remotely - July 1, 2023
- Futureverse – Ten-Year Anniversary - June 19, 2025
- Future Got Better at Finding Global Variables - June 23, 2025
- Setting Future Plans in R Functions — and Why You Probably Shouldn't - June 25, 2025
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- foreach: Making All %dopar% Behave Like %dofuture% Everywhere - October 8, 2025
- Futures: Interrupts, Crashes, and Retries - October 16, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
- The Resource Project: Tell R How Much Memory You Need - August 11, 2026
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
package (56)
- Package: matrixStats 0.13.1 - Methods that Apply to Rows and Columns of a Matrix (and Vectors) - January 25, 2015
- How to: Package Vignettes in Plain LaTeX - February 21, 2015
- To Students: matrixStats for Google Summer of Code - March 12, 2015
- A Future for R: Slides from useR 2016 - July 2, 2016
- Remote Processing Using Futures - October 11, 2016
- High-Performance Compute in R Using Futures - October 22, 2016
- Start Me Up - December 22, 2016
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages - March 18, 2017
- The Many-Faced Future - June 5, 2017
- Startup with Secrets - A Poor Man's Approach - March 30, 2018
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
- R.devices - Into the Void - July 21, 2018
- future 1.9.0 - Output from The Future - July 23, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- Parallelize a For-Loop by Rewriting it as an Lapply Call - January 11, 2019
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- startup - run R startup files once per hour, day, week, ... - May 26, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- e-Rum 2020 Slides on Progressr - July 4, 2020
- future and future.apply - Some Recent Improvements - July 11, 2020
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- Trust the Future - November 4, 2020
- parallelly, future - Cleaning Up Around the House - November 4, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
- NYC R Meetup: Slides on Future - November 12, 2020
- My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020 - December 19, 2020
- future.BatchJobs - End-of-Life Announcement - January 8, 2021
- Using Kubernetes and the Future Package to Easily Parallelize R in the Cloud - April 8, 2021
- parallelly 1.25.0: availableCores(omit=n) and, Finally, Built-in SSH Support for MS Windows 10 Users - April 30, 2021
- parallelly 1.26.0: Fast, Concurrent Setup of Parallel Workers (Finally) - June 10, 2021
- progressr 0.8.0: RStudio's Progress Bar, Shiny Progress Updates, and Absolute Progress - June 11, 2021
- matrixStats: Consistent Support for Name Attributes via GSoC Project - August 23, 2021
- parallelly 1.29.0: New Skills and Less Communication Latency on Linux - November 22, 2021
- Future Improvements During 2021 - January 7, 2022
- future 1.24.0: Forwarding RNG State also for Stand-Alone Futures - February 22, 2022
- parallelly 1.31.1: Better at Inferring Number of CPU Cores with Cgroups and Linux Containers - April 22, 2022
- progressr 0.10.1: Plyr Now Supports Progress Updates also in Parallel - June 3, 2022
- parallelly 1.32.0: makeClusterPSOCK() Didn't Work with Chinese and Korean Locales - June 8, 2022
- parallelly: Support for Fujitsu Technical Computing Suite High-Performance Compute (HPC) Environments - June 9, 2022
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- Please Avoid detectCores() in your R Packages - December 5, 2022
- progressr 0.13.0: cli + progressr = ♥ - January 10, 2023
- parallelly 1.34.0: Support for CGroups v2, Killing Parallel Workers, and more - January 18, 2023
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- %dofuture% - a Better foreach() Parallelization Operator than %dopar% - June 26, 2023
- parallelly: Querying, Killing and Cloning Parallel Workers Running Locally or Remotely - July 1, 2023
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
future (49)
- A Future for R: Slides from useR 2016 - July 2, 2016
- Remote Processing Using Futures - October 11, 2016
- High-Performance Compute in R Using Futures - October 22, 2016
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages - March 18, 2017
- The Many-Faced Future - June 5, 2017
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
- future 1.9.0 - Output from The Future - July 23, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- Parallelize a For-Loop by Rewriting it as an Lapply Call - January 11, 2019
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- e-Rum 2020 Slides on Progressr - July 4, 2020
- future and future.apply - Some Recent Improvements - July 11, 2020
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- Trust the Future - November 4, 2020
- parallelly, future - Cleaning Up Around the House - November 4, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
- NYC R Meetup: Slides on Future - November 12, 2020
- My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020 - December 19, 2020
- future.BatchJobs - End-of-Life Announcement - January 8, 2021
- Using Kubernetes and the Future Package to Easily Parallelize R in the Cloud - April 8, 2021
- parallelly 1.25.0: availableCores(omit=n) and, Finally, Built-in SSH Support for MS Windows 10 Users - April 30, 2021
- parallelly 1.26.0: Fast, Concurrent Setup of Parallel Workers (Finally) - June 10, 2021
- parallelly 1.29.0: New Skills and Less Communication Latency on Linux - November 22, 2021
- Future Improvements During 2021 - January 7, 2022
- future 1.24.0: Forwarding RNG State also for Stand-Alone Futures - February 22, 2022
- parallelly 1.31.1: Better at Inferring Number of CPU Cores with Cgroups and Linux Containers - April 22, 2022
- progressr 0.10.1: Plyr Now Supports Progress Updates also in Parallel - June 3, 2022
- parallelly 1.32.0: makeClusterPSOCK() Didn't Work with Chinese and Korean Locales - June 8, 2022
- parallelly: Support for Fujitsu Technical Computing Suite High-Performance Compute (HPC) Environments - June 9, 2022
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- progressr 0.13.0: cli + progressr = ♥ - January 10, 2023
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- Futureverse – Ten-Year Anniversary - June 19, 2025
- Future Got Better at Finding Global Variables - June 23, 2025
- Setting Future Plans in R Functions — and Why You Probably Shouldn't - June 25, 2025
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- foreach: Making All %dopar% Behave Like %dofuture% Everywhere - October 8, 2025
- Futures: Interrupts, Crashes, and Retries - October 16, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
- The Resource Project: Tell R How Much Memory You Need - August 11, 2026
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
parallel-processing (42)
- A Future for R: Slides from useR 2016 - July 2, 2016
- Remote Processing Using Futures - October 11, 2016
- High-Performance Compute in R Using Futures - October 22, 2016
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
- future 1.9.0 - Output from The Future - July 23, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- Parallelize a For-Loop by Rewriting it as an Lapply Call - January 11, 2019
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- Trust the Future - November 4, 2020
- parallelly, future - Cleaning Up Around the House - November 4, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
- future.BatchJobs - End-of-Life Announcement - January 8, 2021
- Using Kubernetes and the Future Package to Easily Parallelize R in the Cloud - April 8, 2021
- parallelly 1.25.0: availableCores(omit=n) and, Finally, Built-in SSH Support for MS Windows 10 Users - April 30, 2021
- parallelly 1.26.0: Fast, Concurrent Setup of Parallel Workers (Finally) - June 10, 2021
- parallelly 1.29.0: New Skills and Less Communication Latency on Linux - November 22, 2021
- Future Improvements During 2021 - January 7, 2022
- future 1.24.0: Forwarding RNG State also for Stand-Alone Futures - February 22, 2022
- parallelly 1.31.1: Better at Inferring Number of CPU Cores with Cgroups and Linux Containers - April 22, 2022
- progressr 0.10.1: Plyr Now Supports Progress Updates also in Parallel - June 3, 2022
- parallelly 1.32.0: makeClusterPSOCK() Didn't Work with Chinese and Korean Locales - June 8, 2022
- parallelly: Support for Fujitsu Technical Computing Suite High-Performance Compute (HPC) Environments - June 9, 2022
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- Please Avoid detectCores() in your R Packages - December 5, 2022
- parallelly 1.34.0: Support for CGroups v2, Killing Parallel Workers, and more - January 18, 2023
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- %dofuture% - a Better foreach() Parallelization Operator than %dopar% - June 26, 2023
- parallelly: Querying, Killing and Cloning Parallel Workers Running Locally or Remotely - July 1, 2023
- Futureverse – Ten-Year Anniversary - June 19, 2025
- Future Got Better at Finding Global Variables - June 23, 2025
- Setting Future Plans in R Functions — and Why You Probably Shouldn't - June 25, 2025
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- foreach: Making All %dopar% Behave Like %dofuture% Everywhere - October 8, 2025
- Futures: Interrupts, Crashes, and Retries - October 16, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
hpc (34)
- High-Performance Compute in R Using Futures - October 22, 2016
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages - March 18, 2017
- The Many-Faced Future - June 5, 2017
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
- future 1.9.0 - Output from The Future - July 23, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- future and future.apply - Some Recent Improvements - July 11, 2020
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- Trust the Future - November 4, 2020
- parallelly, future - Cleaning Up Around the House - November 4, 2020
- parallelly, future - Cleaning Up Around the House - November 4, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
- My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020 - December 19, 2020
- future.BatchJobs - End-of-Life Announcement - January 8, 2021
- parallelly 1.25.0: availableCores(omit=n) and, Finally, Built-in SSH Support for MS Windows 10 Users - April 30, 2021
- parallelly 1.26.0: Fast, Concurrent Setup of Parallel Workers (Finally) - June 10, 2021
- parallelly 1.29.0: New Skills and Less Communication Latency on Linux - November 22, 2021
- Future Improvements During 2021 - January 7, 2022
- parallelly 1.31.1: Better at Inferring Number of CPU Cores with Cgroups and Linux Containers - April 22, 2022
- parallelly 1.32.0: makeClusterPSOCK() Didn't Work with Chinese and Korean Locales - June 8, 2022
- parallelly: Support for Fujitsu Technical Computing Suite High-Performance Compute (HPC) Environments - June 9, 2022
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- Please Avoid detectCores() in your R Packages - December 5, 2022
- parallelly 1.34.0: Support for CGroups v2, Killing Parallel Workers, and more - January 18, 2023
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- %dofuture% - a Better foreach() Parallelization Operator than %dopar% - June 26, 2023
- parallelly: Querying, Killing and Cloning Parallel Workers Running Locally or Remotely - July 1, 2023
parallel (29)
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages - March 18, 2017
- The Many-Faced Future - June 5, 2017
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- future and future.apply - Some Recent Improvements - July 11, 2020
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- Trust the Future - November 4, 2020
- parallelly, future - Cleaning Up Around the House - November 4, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
- parallelly 1.25.0: availableCores(omit=n) and, Finally, Built-in SSH Support for MS Windows 10 Users - April 30, 2021
- parallelly 1.26.0: Fast, Concurrent Setup of Parallel Workers (Finally) - June 10, 2021
- progressr 0.8.0: RStudio's Progress Bar, Shiny Progress Updates, and Absolute Progress - June 11, 2021
- parallelly 1.29.0: New Skills and Less Communication Latency on Linux - November 22, 2021
- Future Improvements During 2021 - January 7, 2022
- future 1.24.0: Forwarding RNG State also for Stand-Alone Futures - February 22, 2022
- parallelly 1.31.1: Better at Inferring Number of CPU Cores with Cgroups and Linux Containers - April 22, 2022
- progressr 0.10.1: Plyr Now Supports Progress Updates also in Parallel - June 3, 2022
- parallelly 1.32.0: makeClusterPSOCK() Didn't Work with Chinese and Korean Locales - June 8, 2022
- parallelly: Support for Fujitsu Technical Computing Suite High-Performance Compute (HPC) Environments - June 9, 2022
- Please Avoid detectCores() in your R Packages - December 5, 2022
- parallelly 1.34.0: Support for CGroups v2, Killing Parallel Workers, and more - January 18, 2023
- %dofuture% - a Better foreach() Parallelization Operator than %dopar% - June 26, 2023
- parallelly: Querying, Killing and Cloning Parallel Workers Running Locally or Remotely - July 1, 2023
- Futureverse – Ten-Year Anniversary - June 19, 2025
- Future Got Better at Finding Global Variables - June 23, 2025
- Setting Future Plans in R Functions — and Why You Probably Shouldn't - June 25, 2025
- foreach: Making All %dopar% Behave Like %dofuture% Everywhere - October 8, 2025
- Futures: Interrupts, Crashes, and Retries - October 16, 2025
asynchronous (26)
- A Future for R: Slides from useR 2016 - July 2, 2016
- Remote Processing Using Futures - October 11, 2016
- High-Performance Compute in R Using Futures - October 22, 2016
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages - March 18, 2017
- The Many-Faced Future - June 5, 2017
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
- future 1.9.0 - Output from The Future - July 23, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- Parallelize a For-Loop by Rewriting it as an Lapply Call - January 11, 2019
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- future and future.apply - Some Recent Improvements - July 11, 2020
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- Trust the Future - November 4, 2020
- parallelly, future - Cleaning Up Around the House - November 4, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
compute-clusters (22)
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages - March 18, 2017
- The Many-Faced Future - June 5, 2017
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
- future 1.9.0 - Output from The Future - July 23, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- future and future.apply - Some Recent Improvements - July 11, 2020
- parallelly, future - Cleaning Up Around the House - November 4, 2020
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- Please Avoid detectCores() in your R Packages - December 5, 2022
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- %dofuture% - a Better foreach() Parallelization Operator than %dopar% - June 26, 2023
- parallelly: Querying, Killing and Cloning Parallel Workers Running Locally or Remotely - July 1, 2023
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
presentation (15)
- A Future for R: Slides from useR 2016 - July 2, 2016
- Remote Processing Using Futures - October 11, 2016
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- e-Rum 2020 Slides on Progressr - July 4, 2020
- NYC R Meetup: Slides on Future - November 12, 2020
- My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020 - December 19, 2020
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
slides (14)
- A Future for R: Slides from useR 2016 - July 2, 2016
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- e-Rum 2020 Slides on Progressr - July 4, 2020
- NYC R Meetup: Slides on Future - November 12, 2020
- My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020 - December 19, 2020
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
talk (14)
- A Future for R: Slides from useR 2016 - July 2, 2016
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- e-Rum 2020 Slides on Progressr - July 4, 2020
- NYC R Meetup: Slides on Future - November 12, 2020
- My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020 - December 19, 2020
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
dofuture (13)
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages - March 18, 2017
- The Many-Faced Future - June 5, 2017
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- Parallelize a For-Loop by Rewriting it as an Lapply Call - January 11, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- Trust the Future - November 4, 2020
- %dofuture% - a Better foreach() Parallelization Operator than %dopar% - June 26, 2023
- %dofuture% - a Better foreach() Parallelization Operator than %dopar% - June 26, 2023
- foreach: Making All %dopar% Behave Like %dofuture% Everywhere - October 8, 2025
- foreach: Making All %dopar% Behave Like %dofuture% Everywhere - October 8, 2025
parallelly (12)
- Trust the Future - November 4, 2020
- parallelly, future - Cleaning Up Around the House - November 4, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
- parallelly 1.25.0: availableCores(omit=n) and, Finally, Built-in SSH Support for MS Windows 10 Users - April 30, 2021
- parallelly 1.26.0: Fast, Concurrent Setup of Parallel Workers (Finally) - June 10, 2021
- parallelly 1.29.0: New Skills and Less Communication Latency on Linux - November 22, 2021
- parallelly 1.31.1: Better at Inferring Number of CPU Cores with Cgroups and Linux Containers - April 22, 2022
- parallelly 1.32.0: makeClusterPSOCK() Didn't Work with Chinese and Korean Locales - June 8, 2022
- parallelly: Support for Fujitsu Technical Computing Suite High-Performance Compute (HPC) Environments - June 9, 2022
- Please Avoid detectCores() in your R Packages - December 5, 2022
- parallelly 1.34.0: Support for CGroups v2, Killing Parallel Workers, and more - January 18, 2023
- parallelly: Querying, Killing and Cloning Parallel Workers Running Locally or Remotely - July 1, 2023
remote-evaluation (11)
- A Future for R: Slides from useR 2016 - July 2, 2016
- Remote Processing Using Futures - October 11, 2016
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- SatRday Paris 2019 Slides on Futures - March 7, 2019
- SatRday LA 2019 Slides on Futures - May 16, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
- Edmonton R User Group Meetup: Futureverse - A Unifying Parallelization Framework in R for Everyone - May 22, 2023
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
performance (10)
- Speed Trick: unlist(..., use.names=FALSE) is Heaps Faster! - January 7, 2013
- Speed Trick: Assigning Large Object NULL is Much Faster than using rm()! - May 25, 2013
- Performance: captureOutput() is Much Faster than capture.output() - May 26, 2014
- Pitfall: Did You Really Mean to Use matrix(nrow, ncol)? - June 17, 2014
- Package: matrixStats 0.13.1 - Methods that Apply to Rows and Columns of a Matrix (and Vectors) - January 25, 2015
- To Students: matrixStats for Google Summer of Code - March 12, 2015
- Performance: Calling R_CheckUserInterrupt() Every 256 Iteration is Actually Faster than Every 1,000,000 Iteration - June 5, 2015
- matrixStats: Optimized Subsetted Matrix Calculations - December 16, 2015
- Performance: Avoid Coercing Indices To Doubles - April 2, 2018
- matrixStats: Consistent Support for Name Attributes via GSoC Project - August 23, 2021
foreach (9)
- doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages - March 18, 2017
- The Many-Faced Future - June 5, 2017
- Parallelize a For-Loop by Rewriting it as an Lapply Call - January 11, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- future and future.apply - Some Recent Improvements - July 11, 2020
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- %dofuture% - a Better foreach() Parallelization Operator than %dopar% - June 26, 2023
- foreach: Making All %dopar% Behave Like %dofuture% Everywhere - October 8, 2025
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
progressr (9)
- useR! 2019 Slides on Futures - July 12, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- e-Rum 2020 Slides on Progressr - July 4, 2020
- future and future.apply - Some Recent Improvements - July 11, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
- progressr 0.8.0: RStudio's Progress Bar, Shiny Progress Updates, and Absolute Progress - June 11, 2021
- progressr 0.10.1: Plyr Now Supports Progress Updates also in Parallel - June 3, 2022
- progressr 0.13.0: cli + progressr = ♥ - January 10, 2023
video (9)
- A Future for R: Slides from useR 2016 - July 2, 2016
- Delayed Future(Slides from eRum 2018) - June 18, 2018
- SatRday LA 2019 Slides on Futures - May 16, 2019
- useR! 2019 Slides on Futures - July 12, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- e-Rum 2020 Slides on Progressr - July 4, 2020
- NYC R Meetup: Slides on Future - November 12, 2020
- My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020 - December 19, 2020
- useR! 2022: My 'Futureverse: Profile Parallel Code' Slides - June 23, 2022
future.batchtools (8)
- High-Performance Compute in R Using Futures - October 22, 2016
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- Trust the Future - November 4, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
- future.BatchJobs - End-of-Life Announcement - January 8, 2021
future.apply (7)
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- Parallelize a For-Loop by Rewriting it as an Lapply Call - January 11, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- future and future.apply - Some Recent Improvements - July 11, 2020
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- Trust the Future - November 4, 2020
memory (7)
- Pitfall: Did You Really Mean to Use matrix(nrow, ncol)? - June 17, 2014
- Package: matrixStats 0.13.1 - Methods that Apply to Rows and Columns of a Matrix (and Vectors) - January 25, 2015
- To Students: matrixStats for Google Summer of Code - March 12, 2015
- matrixStats: Optimized Subsetted Matrix Calculations - December 16, 2015
- Performance: Avoid Coercing Indices To Doubles - April 2, 2018
- matrixStats: Consistent Support for Name Attributes via GSoC Project - August 23, 2021
- The Resource Project: Tell R How Much Memory You Need - August 11, 2026
cloud (6)
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- doFuture: A Universal Foreach Adaptor Ready to be Used by 1,000+ Packages - March 18, 2017
- The Many-Faced Future - June 5, 2017
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- Using Kubernetes and the Future Package to Easily Parallelize R in the Cloud - April 8, 2021
cran (6)
- Set Package Repositories at Startup - September 27, 2012
- Milestone: 6000 Packages on CRAN - October 29, 2014
- How to: Package Vignettes in Plain LaTeX - February 21, 2015
- Milestone: 7000 Packages on CRAN - August 12, 2015
- Trust the Future - November 4, 2020
- future.BatchJobs - End-of-Life Announcement - January 8, 2021
distributed-processing (6)
- Futureverse – Ten-Year Anniversary - June 19, 2025
- Future Got Better at Finding Global Variables - June 23, 2025
- Setting Future Plans in R Functions — and Why You Probably Shouldn't - June 25, 2025
- useR! 2025: Futureverse P2P: Peer-to-Peer Parallelization in R - Share compute among friends across the world - August 14, 2025
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
futureverse (6)
- Futureverse – Ten-Year Anniversary - June 19, 2025
- Future Got Better at Finding Global Variables - June 23, 2025
- Setting Future Plans in R Functions — and Why You Probably Shouldn't - June 25, 2025
- foreach: Making All %dopar% Behave Like %dofuture% Everywhere - October 8, 2025
- Futures: Interrupts, Crashes, and Retries - October 16, 2025
- The Resource Project: Tell R How Much Memory You Need - August 11, 2026
rng (6)
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
- Detect When the Random Number Generator Was Used - September 21, 2020
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- future 1.24.0: Forwarding RNG State also for Stand-Alone Futures - February 22, 2022
rprofile (6)
- Set Package Repositories at Startup - September 27, 2012
- Force R Help HTML Server to Always Use the Same URL Port - October 22, 2012
- Start Me Up - December 22, 2016
- Startup with Secrets - A Poor Man's Approach - March 30, 2018
- startup - run R startup files once per hour, day, week, ... - May 26, 2019
- Detect When the Random Number Generator Was Used - September 21, 2020
startup (6)
- Set Package Repositories at Startup - September 27, 2012
- Force R Help HTML Server to Always Use the Same URL Port - October 22, 2012
- Start Me Up - December 22, 2016
- Startup with Secrets - A Poor Man's Approach - March 30, 2018
- startup - run R startup files once per hour, day, week, ... - May 26, 2019
- Detect When the Random Number Generator Was Used - September 21, 2020
configuration (5)
- Set Package Repositories at Startup - September 27, 2012
- Force R Help HTML Server to Always Use the Same URL Port - October 22, 2012
- Start Me Up - December 22, 2016
- Startup with Secrets - A Poor Man's Approach - March 30, 2018
- startup - run R startup files once per hour, day, week, ... - May 26, 2019
future-ten-years (5)
- Futureverse – Ten-Year Anniversary - June 19, 2025
- Future Got Better at Finding Global Variables - June 23, 2025
- Setting Future Plans in R Functions — and Why You Probably Shouldn't - June 25, 2025
- foreach: Making All %dopar% Behave Like %dofuture% Everywhere - October 8, 2025
- Futures: Interrupts, Crashes, and Retries - October 16, 2025
lapply (5)
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- The Many-Faced Future - June 5, 2017
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
- Parallelize a For-Loop by Rewriting it as an Lapply Call - January 11, 2019
matrix (5)
- Pitfall: Did You Really Mean to Use matrix(nrow, ncol)? - June 17, 2014
- Package: matrixStats 0.13.1 - Methods that Apply to Rows and Columns of a Matrix (and Vectors) - January 25, 2015
- To Students: matrixStats for Google Summer of Code - March 12, 2015
- matrixStats: Optimized Subsetted Matrix Calculations - December 16, 2015
- matrixStats: Consistent Support for Name Attributes via GSoC Project - August 23, 2021
matrixstats (5)
- Package: matrixStats 0.13.1 - Methods that Apply to Rows and Columns of a Matrix (and Vectors) - January 25, 2015
- To Students: matrixStats for Google Summer of Code - March 12, 2015
- matrixStats: Optimized Subsetted Matrix Calculations - December 16, 2015
- Performance: Avoid Coercing Indices To Doubles - April 2, 2018
- matrixStats: Consistent Support for Name Attributes via GSoC Project - August 23, 2021
future.batchjobs (4)
- High-Performance Compute in R Using Futures - October 22, 2016
- future 1.3.0: Reproducible RNGs, future_lapply() and More - February 19, 2017
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- future.BatchJobs - End-of-Life Announcement - January 8, 2021
future.callr (4)
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- Maintenance Updates of Future Backends and doFuture - January 7, 2019
- future 1.15.0 - Lazy Futures are Now Launched if Queried - November 9, 2019
- Trust the Future - November 4, 2020
options (4)
- Set Package Repositories at Startup - September 27, 2012
- Force R Help HTML Server to Always Use the Same URL Port - October 22, 2012
- Start Me Up - December 22, 2016
- Startup with Secrets - A Poor Man's Approach - March 30, 2018
progress-updates (4)
- useR! 2019 Slides on Futures - July 12, 2019
- rstudio::conf 2020 Slides on Futures - February 1, 2020
- e-Rum 2020 Slides on Progressr - July 4, 2020
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
futurize (3)
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
- The Resource Project: Tell R How Much Memory You Need - August 11, 2026
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
garbage-collection (3)
- Pitfall: Did You Really Mean to Use matrix(nrow, ncol)? - June 17, 2014
- matrixStats: Optimized Subsetted Matrix Calculations - December 16, 2015
- Performance: Avoid Coercing Indices To Doubles - April 2, 2018
gsoc (3)
- To Students: matrixStats for Google Summer of Code - March 12, 2015
- matrixStats: Optimized Subsetted Matrix Calculations - December 16, 2015
- matrixStats: Consistent Support for Name Attributes via GSoC Project - August 23, 2021
packages (3)
- Set Package Repositories at Startup - September 27, 2012
- Milestone: 6000 Packages on CRAN - October 29, 2014
- Milestone: 7000 Packages on CRAN - August 12, 2015
renviron (3)
- Start Me Up - December 22, 2016
- Startup with Secrets - A Poor Man's Approach - March 30, 2018
- startup - run R startup files once per hour, day, week, ... - May 26, 2019
apply (2)
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
bioconductor (2)
- Set Package Repositories at Startup - September 27, 2012
- My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020 - December 19, 2020
coercion (2)
- Pitfall: Did You Really Mean to Use matrix(nrow, ncol)? - June 17, 2014
- Performance: Avoid Coercing Indices To Doubles - April 2, 2018
concurrency (2)
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
dopar (2)
- %dofuture% - a Better foreach() Parallelization Operator than %dopar% - June 26, 2023
- foreach: Making All %dopar% Behave Like %dofuture% Everywhere - October 8, 2025
environment-variables (2)
- Start Me Up - December 22, 2016
- Startup with Secrets - A Poor Man's Approach - March 30, 2018
furrr (2)
- future 1.19.1 - Making Sure Proper Random Numbers are Produced in Parallel Processing - September 22, 2020
- Trust the Future - November 4, 2020
history (2)
- This Day in History (1997-04-01) - April 1, 2013
- The R-help Community was Started on This Day 20 Years Ago - April 1, 2017
mailing-list (2)
- This Day in History (1997-04-01) - April 1, 2013
- The R-help Community was Started on This Day 20 Years Ago - April 1, 2017
map-reduce (2)
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
milestone (2)
- Milestone: 6000 Packages on CRAN - October 29, 2014
- Milestone: 7000 Packages on CRAN - August 12, 2015
output (2)
- future 1.9.0 - Output from The Future - July 23, 2018
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
plyr (2)
- The Many-Faced Future - June 5, 2017
- progressr 0.10.1: Plyr Now Supports Progress Updates also in Parallel - June 3, 2022
project (2)
- To Students: matrixStats for Google Summer of Code - March 12, 2015
- matrixStats: Consistent Support for Name Attributes via GSoC Project - August 23, 2021
purrr (2)
- progressr 0.13.0: cli + progressr = ♥ - January 10, 2023
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
r-help (2)
- This Day in History (1997-04-01) - April 1, 2013
- The R-help Community was Started on This Day 20 Years Ago - April 1, 2017
remote-graphics (2)
- A Future for R: Slides from useR 2016 - July 2, 2016
- Remote Processing Using Futures - October 11, 2016
shiny (2)
- future 1.8.0: Preparing for a Shiny Future - April 12, 2018
- progressr 0.8.0: RStudio's Progress Bar, Shiny Progress Updates, and Absolute Progress - June 11, 2021
standard-output (2)
- future 1.9.0 - Output from The Future - July 23, 2018
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
stdout (2)
- future 1.9.0 - Output from The Future - July 23, 2018
- future 1.20.1 - The Future Just Got a Bit Brighter - November 6, 2020
transpiler (2)
- futurize: Parallelize Common Functions via a "Magic" Touch 🪄 - January 22, 2026
- useR! 2026: Futurize - Tearing Down Parallelization Barriers in R with Transpilers - August 20, 2026
archive (1)
- future.BatchJobs - End-of-Life Announcement - January 8, 2021
availablecores (1)
- Please Avoid detectCores() in your R Packages - December 5, 2022
biocparallel (1)
- My Keynote 'Future' Presentation at the European Bioconductor Meeting 2020 - December 19, 2020
cli (1)
- progressr 0.13.0: cli + progressr = ♥ - January 10, 2023
crashes (1)
- Futures: Interrupts, Crashes, and Retries - October 16, 2025
crayon (1)
- Detect When the Random Number Generator Was Used - September 21, 2020
deprecation (1)
- future.BatchJobs - End-of-Life Announcement - January 8, 2021
detectcores (1)
- Please Avoid detectCores() in your R Packages - December 5, 2022
erum-2020 (1)
- e-Rum 2020 Slides on Progressr - July 4, 2020
erum2018 (1)
- Delayed Future(Slides from eRum 2018) - June 18, 2018
for-loop (1)
- Parallelize a For-Loop by Rewriting it as an Lapply Call - January 11, 2019
future.tests (1)
- Trust the Future - November 4, 2020
globals (1)
- Future Got Better at Finding Global Variables - June 23, 2025
graphics (1)
- R.devices - Into the Void - July 21, 2018
help (1)
- Force R Help HTML Server to Always Use the Same URL Port - October 22, 2012
interactive-graphics (1)
- Remote Processing Using Futures - October 11, 2016
interrupts (1)
- Futures: Interrupts, Crashes, and Retries - October 16, 2025
latex (1)
- How to: Package Vignettes in Plain LaTeX - February 21, 2015
latinr-2025 (1)
- LatinR 2025: future.p2p: Peer-to-Peer Compute Clusters in R - December 3, 2025
map (1)
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
mapply (1)
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
microbenchmark (1)
- Performance: Avoid Coercing Indices To Doubles - April 2, 2018
name-attributes (1)
- matrixStats: Consistent Support for Name Attributes via GSoC Project - August 23, 2021
pdf (1)
- How to: Package Vignettes in Plain LaTeX - February 21, 2015
port (1)
- Force R Help HTML Server to Always Use the Same URL Port - October 22, 2012
prompt (1)
- Detect When the Random Number Generator Was Used - September 21, 2020
purr (1)
- The Many-Faced Future - June 5, 2017
r-announce (1)
- This Day in History (1997-04-01) - April 1, 2013
r-devel (1)
- This Day in History (1997-04-01) - April 1, 2013
r.rsp (1)
- How to: Package Vignettes in Plain LaTeX - February 21, 2015
replicate (1)
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
repositories (1)
- Set Package Repositories at Startup - September 27, 2012
resources (1)
- The Resource Project: Tell R How Much Memory You Need - August 11, 2026
roadmap (1)
- The Resource Project: Tell R How Much Memory You Need - August 11, 2026
rstudioconf-2020 (1)
- rstudio::conf 2020 Slides on Futures - February 1, 2020
sapply (1)
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
satrday-la-2019 (1)
- SatRday LA 2019 Slides on Futures - May 16, 2019
satrday-paris-2019 (1)
- SatRday Paris 2019 Slides on Futures - March 7, 2019
secrets (1)
- Startup with Secrets - A Poor Man's Approach - March 30, 2018
tapply (1)
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
taskcallbackmanager (1)
- Detect When the Random Number Generator Was Used - September 21, 2020
termination (1)
- Futures: Interrupts, Crashes, and Retries - October 16, 2025
testing (1)
- Trust the Future - November 4, 2020
unlist (1)
- Speed Trick: unlist(..., use.names=FALSE) is Heaps Faster! - January 7, 2013
user-2016 (1)
- A Future for R: Slides from useR 2016 - July 2, 2016
user-2019 (1)
- useR! 2019 Slides on Futures - July 12, 2019
validation (1)
- Trust the Future - November 4, 2020
vapply (1)
- future.apply - Parallelize Any Base R Apply Function - June 23, 2018
vignette (1)
- How to: Package Vignettes in Plain LaTeX - February 21, 2015
