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
    composable analytics
    How Composable Analytics Unlocks Modular Agility for Data Teams
    9 Min Read
    data mining to find the right poly bag makers
    Using Data Analytics to Choose the Best Poly Mailer Bags
    12 Min Read
    data analytics for pharmacy trends
    How Data Analytics Is Tracking Trends in the Pharmacy Industry
    5 Min Read
    car expense data analytics
    Data Analytics for Smarter Vehicle Expense Management
    10 Min Read
    image fx (60)
    Data Analytics Driving the Modern E-commerce Warehouse
    13 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

Digital Safety Radar
DQ is 1/3 Process Knowledge + 1/3 Business Knowledge + 1/3 Intuition
SIA: Email Deliverability
10 R Packages Every Data Scientist Should Know About
Stop Asking for Margin of Error in Polling Research

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

composable analytics
How Composable Analytics Unlocks Modular Agility for Data Teams
Analytics Big Data Exclusive
fintech startups
Why Fintech Start-Ups Struggle To Secure The Funding They Need
Infographic News
edge networks in manufacturing
Edge Infrastructure Strategies for Data-Driven Manufacturers
Big Data Exclusive
data mining to find the right poly bag makers
Using Data Analytics to Choose the Best Poly Mailer Bags
Analytics Big Data Exclusive

Stay Connected

1.2kFollowersLike
33.7kFollowersFollow
222FollowersPin

You Might also Like

Julia Language
Big Data

Could the Julia Language Fill an Untapped Void for Big Data Programmers?

6 Min Read
first data scientist Norman Nie
AnalyticsBig DataHadoop

The First Data Scientist on the Evolution of Data Science

11 Min Read
data science online education
R Programming Language

Data Science Education Gets Personal

5 Min Read

Adventures in MOOC: Back to School

4 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
AI and chatbots
Chatbots and SEO: How Can Chatbots Improve Your SEO Ranking?
Artificial Intelligence Chatbots Exclusive

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?