We use cookies, including third-party cookies from Google to serve personalized ads through AdSense, to operate this site and understand how it is used. By continuing to browse, you accept this use. See our Privacy Policy and Terms of Use for details, including how to opt out of personalized advertising.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    chatgpt image jul 21, 2026, 04 34 30 pm
    4 Core Benefits of Predictive Maintenance after Vibration Analysis
    10 Min Read
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results -- AI-generated illustration
    How Does Data Mining Boost Customer Satisfaction in Logistics? Harnessing Analytics for Results
    11 Min Read
    chatgpt image jul 13, 2026, 04 23 45 pm
    How Data Analytics Helps Companies Improve User Engagement
    19 Min Read
    chatgpt image jul 13, 2026, 03 59 46 pm
    How Data Analytics Improves Multi-Location Search Strategies
    10 Min Read
    cybersecurity efforts
    How Behavioral Analytics and AI Are Redefining Cybersecurity for Boca Raton Businesses
    14 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Brian Ripley on The R Development Process
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > R Programming Language > Brian Ripley on The R Development Process
R Programming Language

Brian Ripley on The R Development Process

DavidMSmith
DavidMSmith
4 Min Read
Brian Ripley on The R Development Process
Illustrative image generated with OpenAI gpt-image-1.
SHARE

R Core member Professor Brian Ripley from Oxford University gave the first keynote presentation of useR! 2011 today, and gave some insights into what goes on behind the scenes to create two updates to R (plus several patches) every year. He began with some facts about the history of R (noting that if they’d known R would take off like it has, there would be better records of the early days):

  • The first still-existing version of R dates from Jun 1995, and the distribution totals 465Kb.
  • R 1.0.0 was released on February 29, 2000 (up to 2.8Mb)
  • R 2.0.0 was released on October 4, 2004 (mostly because the name R 1.10.0 was unappealing because it would sort to the top of the list of R versions in some systems). At this point the distribution had grown to some 10Mb in size.

Prof. Ripley also showcased some of the major improvements from recent versions of R, including multi-language support (thanks to which R is widely used in China and Japan, for example), support for R as a scripting language (most of R’s own build scripts are now written in R), and improved graphics rendering. 

Looking to the future, Prof. Ripley noted that there are no plans to make any backwards-incompatible changes that would warrant a jump to a 3.x numbering scheme. R 2.14 is planned for October, and after that the Core Group will move to an annual (rather than bi-annual) release schedule beginning with R 2.15 in (provisionally) March 2012. He also gave a glimpse even details of R’s development plans, with low-level support for multi-threaded computing, a standard parallel computing library, and support for a 64-bit native R engine possibly on the horizon.

The talk also included some rather poignant insight into the level of altruistic commitment provided by the active members of R-core to keep the R project running as smoothly as it does. For example, there are more than 110 contributions to CRAN each week, each of which requires manual review and often direct feedback on how to fix problems from CRAN maintainer Kurt Hornik. Also, many members of R-core spend a lot of volunteer time on the R-help and R-devel mailing lists interacting with R users: so many request for help and suggestions for changes to R take a lot of effort to respond to, even when asked respectfully — and these contributions perhaps aren’t always treated with respect.

More Read

Big-Data PCA: 50 Years of Stock Data
Big-Data PCA: 50 Years of Stock Data
AI Can Help Accelerate Development with Low-Code Frameworks
The Luck and Skill of Scrabble
Are New SEC Rules Enough to Prevent Another Flash Crash?
R Integrated Throughout the Enterprise Analytics Stack

So I’d like to join with the rest of the R community in giving thanks to Prof Ripley and the R core team for making R available to the community at large. Each of us has benefited greatly from their selfless contributions in taking statistical computing to the next generation and I, amongst many I’m sure, am extremely thankful to them for their generosity.

useR! 2011 Invited Talks (abstracts): The R Development Process, Brian Ripley

TAGGED:software development
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

Analyst points at colorful circular data dashboard on screen - information technology business metrics
How Fragmented Workplace Tech Undermines Reliable Business Metrics and Reporting
Cloud Computing Exclusive Infographic IT
Using Multi-Source Data and Analytics to Detect Operational Drift Across Franchise Networks -- AI-generated illustration
Using Multi-Source Data and Analytics to Detect Operational Drift Across Franchise Networks
Exclusive Infographic
Beyond The First Impression: The Long-Lasting Impact Of Sensory Marketing -- AI-generated illustration
Beyond The First Impression: The Long-Lasting Impact Of Sensory Marketing
Infographic Marketing
The Infrastructure Gap Slowing Data Center Growth -- AI-generated illustration
The Infrastructure Gap Slowing Data Center Growth
Big Data Cloud Computing Exclusive Infographic IT

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

6 Tips for Building a Successful AI Software Business
News

6 Tips for Building a Successful AI Software Business

11 Min Read
New Software Development Initiatives Lead To Second Stage Of Big Data
Big DataExclusiveSoftware

New Software Development Initiatives Lead To Second Stage Of Big Data

12 Min Read
hire the right python developers for your data science team
Python

Roles of Python Developer in Data Science Teams

5 Min Read
3 Important Things To Know About Cloud Automation
Cloud ComputingProgramming

3 Important Things To Know About Cloud Automation

6 Min Read

SmartData Collective is one of the largest & trusted community covering technical content about Big Data, BI, Cloud, Analytics, Artificial Intelligence, IoT & more.

5 Great Tips for Using Data Analytics for Website UX
5 Great Tips for Using Data Analytics for Website UX
Big Data
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-26 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?