Abstract
In this chapter we will overview some additional options to work with R: how to speed up computations and better ways to handle data. Simple parallelization (and pseudo-parallelization) is discussed along with some packages for R. Sometimes additional programs are needed for an analysis, we will see how to interface with them and also how to write programs in other languages for use in R. Many applications need a graphical interface, we will illustrate how to build graphic shells and use R as the engine behind the scenes. Results from an analysis are of limited value unless they are reproducible and reported in a human digestible format—we will see some of R’s reporting functionalities.
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Gondro, C. (2015). Extending R. In: Primer to Analysis of Genomic Data Using R. Use R!. Springer, Cham. https://doi.org/10.1007/978-3-319-14475-7_7
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DOI: https://doi.org/10.1007/978-3-319-14475-7_7
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