Abstract
As the previous chapters have shown, multiple techniques are available in R for powerful data-driven insights and analysis. For the average business analyst, well-designed GUID tools that are stable to use, pull data and models, and report them are essential, and all these are available within various R subcomponents and packages. This chapter is aimed at analysts wishing to tweak their overall R experience by measuring R performance and improving it using some of the well-known and some recently introduced utilities.
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© 2012 Springer Science+Business Media New York
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Ohri, A. (2012). Optimizing R Code. In: R for Business Analytics. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-4343-8_11
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DOI: https://doi.org/10.1007/978-1-4614-4343-8_11
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Publisher Name: Springer, New York, NY
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Online ISBN: 978-1-4614-4343-8
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