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
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© 2011 Springer Science+Business Media, LLC
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Muenchen, R.A. (2011). Data Management. In: R for SAS and SPSS Users. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-0685-3_10
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DOI: https://doi.org/10.1007/978-1-4614-0685-3_10
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Publisher Name: Springer, New York, NY
Print ISBN: 978-1-4614-0684-6
Online ISBN: 978-1-4614-0685-3
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