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Why R, and Why Now?

In: Oceanographic Analysis with R

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  • Dan E. Kelley

    (Dalhousie University, Oceanography)

Abstract

For many years, the R language has had a reputation as a premier system for interactive data analysis. From a user’s perspective, there are two main reasons for this. First, R is a language designed specifically for working with data, so it has important practical features (e.g. sensible treatment of missing values) that are not found in more general languages. Second, R comes with a vast array of high-quality packages, or libraries, that handle specialized tasks. The packages are contributed by experts in various fields, and tend to be tied closely to the literature—two facts that are relevant in an integrative field such as oceanography. The case for R has grown stronger in recent years, with a general movement to open-source software open source , and with specialized aspects of oceanographic data analysis becoming available in the oce package. Now is a good time for oceanographers to try R.

Suggested Citation

  • Dan E. Kelley, 2018. "Why R, and Why Now?," Springer Books, in: Oceanographic Analysis with R, chapter 0, pages 1-4, Springer.
    • Handle: RePEc:spr:sprchp:978-1-4939-8844-0_1
    DOI: 10.1007/978-1-4939-8844-0_1
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