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SmartData Collective > Big Data > Data Mining > Google’s coding standards for R
Data Mining

Google’s coding standards for R

DavidMSmith
DavidMSmith
2 Min Read
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For any software application in production and produced by a development team, coding standards are an essential tool for promoting maintainability and quality. Google has recently published their coding standards for R, with a compendium of common-sense tips for keeping an R project in shape. The standards Google R programmers adhere to include:

  • File Names: end in .R 
  • Identifiers: variable.name, FunctionName, kConstantName  
  • Line Length: maximum 80 characters  
  • Indentation: two spaces, no tabs  
  • Curly Braces: first on same line, last on own line  

  • Assignment: use <>, not =  
  • Semicolons: don’t use them  
  • Commenting Guidelines: all comments begin with # followed by a space; inline comments need two spaces before the #

Follow the link below to see the other standards and all of the details. (Thanks to Daniel Levine of TechCrunch for the tip.)

Google Code: Google’s R Style Guide

Link to original post

For any software application in production and produced by a development team, coding standards are an essential tool for promoting maintainability and quality. Google has recently published their coding standards for R, with a compendium of common-sense tips for keeping an R project in shape. The standards Google R programmers adhere to include:

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  • File Names: end in .R 
  • Identifiers: variable.name, FunctionName, kConstantName  
  • Line Length: maximum 80 characters  
  • Indentation: two spaces, no tabs  
  • Curly Braces: first on same line, last on own line  

  • Assignment: use <-, not =  
  • Semicolons: don’t use them  
  • Commenting Guidelines: all comments begin with # followed by a space; inline comments need two spaces before the #

Follow the link below to see the other standards and all of the details. (Thanks to Daniel Levine of TechCrunch for the tip.)

Google Code: Google’s R Style Guide

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