Cookies help us display personalized product recommendations and ensure you have great shopping experience.

By using this site, you agree to the Privacy Policy and Terms of Use.
Accept
SmartData CollectiveSmartData Collective
  • Analytics
    AnalyticsShow More
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
    6 Min Read
    How Data Analytics Is Reshaping Patient Financing Decisions
    How Data Analytics Is Reshaping Patient Financing Decisions
    13 Min Read
    business using business intelligence
    How to Use a Competitive Intelligence Dashboard to Turn Market Data Into Smarter Marketing Decisions 
    9 Min Read
    unusual trading activity
    Signal Or Noise? A Decision Tree For Evaluating Unusual Trading Activity
    3 Min Read
    software developer using ai
    How Data Analytics Helps Developers Deliver Better Tech Services
    8 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
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):

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. 

More Read

Real-Time Predictive Analytics with Big Data, and R
Key Criteria When Hiring AI Software Development Agency
10 reasons why a grad student should use R
Mapping Prosperity in France with R
There’s a Lot to Like about R

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.

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

New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
New Data Analytics Breakthroughs Give eCommerce Startups a Fighting Chance
Analytics Big Data Exclusive
data driven businesses
How Data-Driven Businesses Choose Storage That Reduces Risk and Drag
Big Data Exclusive
Operational Data Becomes Business Value in the Age of AIoT
Operational Data Becomes Business Value in the Age of AIoT
Big Data Exclusive Internet of Things
growth guide
Growing Smarter: The Role Of Strategic Partnerships From Startup To Scale
Infographic News

Stay Connected

1.2KFollowersLike
33.7KFollowersFollow
222FollowersPin

You Might also Like

devops options for data-driven software
Data Science

Low Code DevOps Opportunities for Data Scientists & Developers

8 Min Read
ai for embedded software development
Software

AI and ChatGPT Are Changing Embedded Software Development

11 Min Read

Was Edison “Agile”? Extracting New Value from Old Techniques

7 Min Read
ai in software development
Artificial Intelligence

AI Software Can Help Your Business Cultivate a Competitive Edge in 2021

11 Min Read

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

data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data
ai chatbot
The Art of Conversation: Enhancing Chatbots with Advanced AI Prompts
Chatbots

Quick Link

  • About
  • Contact
  • Privacy
Follow US
© 2008-25 SmartData Collective. All Rights Reserved.
Welcome Back!

Sign in to your account

Username or Email Address
Password

Lost your password?