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Data Management

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Book cover R for Stata Users

Part of the book series: Statistics and Computing ((SCO))

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Abstract

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

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References

  1. Carlos Alzola and Jr. Frank E. Harrell. An Introduction to S and the Hmisc and Design Libraries. Available from http://biostat.mc.vanderbilt.edu/RS/sintro.pdf, 2006.

  2. Richard A. Becker, Allan R. Wilks, Ray Brownrigg, and Thomas P Minka. maps: Draw Geographical Maps. Available from http://cran.r-project.org, 2009. R package version 2.1-0.

  3. Hadley Wickham. Reshaping data with the reshape package. Journal of Statistical Software, 21(12), 2007.

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Correspondence to Robert A. Muenchen .

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© 2010 Springer Science+Business Media, LLC

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Muenchen, R.A., Hilbe, J.M. (2010). Data Management. In: R for Stata Users. Statistics and Computing. Springer, New York, NY. https://doi.org/10.1007/978-1-4419-1318-0_10

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