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Data Management

  • Robert A. MuenchenEmail author
Chapter
  • 6.3k Downloads
Part of the Statistics and Computing book series (SCO)

Abstract

An old rule of thumb says that 80% of your data analysis time is spent transforming, reshaping, merging, and otherwise managing your data. SAS and SPSS have a reputation of being more flexible than R for data management. However, as you will see in this chapter, R can do everything SAS and SPSS can do on these important tasks

Keywords

Data Management Data Frame Aggregate Function Character Vector Logical Comparison 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer Science+Business Media, LLC 2011

Authors and Affiliations

  1. 1.Research Computing SupportUniversity of TennesseeKnoxvilleUSA

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