MODULE 3 Summary

baseR-V2016.2 - Data Management and Manipulation using R

Tested on R versions 3.0.X through 3.3.1
Last update: 15 August 2016


Summary


Data in R can be of many different types and forms. The characteristics of these data, and how R deals with each, must be understood before data can be manipulated in R.

Topics in Module 3 that dealt with data management in R included:

  • 3.1 Data cautions
  • 3.2 Data mode, class
  • 3.3 Data distinctions
  • 3.4 Data input
  • 3.5 Accessing variables3.6 Coercing data
  • 3.7 Reshaping data
  • 3.8 Data checking
  • 3.9 Data output

How to manipulate data once they have been successfully created or imported as R data objects is the subject of Module 4, Data Manipulation in R.


END MODULE 3



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