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
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 Min Read
    big data analytics in transporation
    Turning Data Into Decisions: How Analytics Improves Transportation Strategy
    3 Min Read
    sales and data analytics
    How Data Analytics Improves Lead Management and Sales Results
    9 Min Read
    data analytics and truck accident claims
    How Data Analytics Reduces Truck Accidents and Speeds Up Claims
    7 Min Read
    predictive analytics for interior designers
    Interior Designers Boost Profits with Predictive Analytics
    8 Min Read
  • Big Data
  • BI
  • Exclusive
  • IT
  • Marketing
  • Software
Search
© 2008-25 SmartData Collective. All Rights Reserved.
Reading: Tips on surviving R
Share
Notification
Font ResizerAa
SmartData CollectiveSmartData Collective
Font ResizerAa
Search
  • About
  • Help
  • Privacy
Follow US
© 2008-23 SmartData Collective. All Rights Reserved.
SmartData Collective > Uncategorized > Tips on surviving R
Uncategorized

Tips on surviving R

DavidMSmith
DavidMSmith
3 Min Read
SHARE

John Mount from Win-Vector LLC gave a very interesting and entertaining talk at this week’s Bay Area User Group Meeting, with seven tips for “surviving” R (based on a post on his blog). His recommendations include:

  • Keep extensive written notes
  • Find a way to search for R answers
  • Learn to convert complex objects to canonical forms with unclass()
  • Learn how to find and inspect classes and methods for objects
  • Learn how to clear pesky attributes from objects
  • Swallow your pride (which I interpret as the equivalent to Tim Gunn‘s “Make it work!”)
  • Learn and use R’s many one-line idioms, rather than reinventing the wheel.

It’s always interesting to me how people approach the R language differently, and especially for those coming to R for languages where concepts like classes and attributes can seem a little arcane in R. This is a good guide for escaping some of those early “gotcha” moments. Check out all the details in the post linked below.

More Read

Steve Jobs, 1955-2011
3 Technologies That Are Changing How Business Continuity Is Handled
Can You Digg It?
When Your Staff Turns Against You with Social Media
November 2009 Early Indications: Prediction Scorecard

Win-Vector Blog: Survive R

Link to original post



John Mount from Win-Vector LLC gave a very interesting and entertaining talk at this week’s Bay Area User Group Meeting, with seven tips for “surviving” R (based on a post on his blog). His recommendations include:

  • Keep extensive written notes
  • Find a way to search for R answers
  • Learn to convert complex objects to canonical forms with unclass()
  • Learn how to find and inspect classes and methods for objects
  • Learn how to clear pesky attributes from objects
  • Swallow your pride (which I interpret as the equivalent to Tim Gunn‘s “Make it work!”)
  • Learn and use R’s many one-line idioms, rather than reinventing the wheel.

It’s always interesting to me how people approach the R language differently, and especially for those coming to R for languages where concepts like classes and attributes can seem a little arcane in R. This is a good guide for escaping some of those early “gotcha” moments. Check out all the details in the post linked below.

Win-Vector Blog: Survive R

Link to original post

TAGGED:r language
Share This Article
Facebook Pinterest LinkedIn
Share

Follow us on Facebook

Latest News

image fx (60)
How Finance & BI Teams Choose Accounting Software
Big Data Business Intelligence Exclusive
Why the AI Race Is Being Decided at the Dataset Level
Why the AI Race Is Being Decided at the Dataset Level
Artificial Intelligence Big Data Exclusive
image fx (60)
Data Analytics Driving the Modern E-commerce Warehouse
Analytics Big Data Exclusive
ai for building crypto banks
Building Your Own Crypto Bank with AI
Blockchain Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

10 R Packages Every Data Scientist Should Know About

1 Min Read

Open Data App for the Paris Métro

3 Min Read

Resampling Data in Hadoop with RHadoop

1 Min Read

Microsoft and the Revolution: Analytics

9 Min Read

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

ai is improving the safety of cars
From Bolts to Bots: How AI Is Fortifying the Automotive Industry
Artificial Intelligence
data-driven web design
5 Great Tips for Using Data Analytics for Website UX
Big Data

Quick Link

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

Sign in to your account

Username or Email Address
Password

Lost your password?