2011 | OriginalPaper | Chapter
Data Management
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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