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Erschienen in:
2018 | OriginalPaper | Buchkapitel
2. Foundations of R
verfasst von : Ivo D. Dinov
Erschienen in: Data Science and Predictive Analytics
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Abstract
This Chapter introduces the foundations of R programming for visualization, statistical computing and scientific inference. Specifically, in this Chapter we will (1) discuss the rationale for selecting R as a computational platform for all DSPA demonstrations; (2) present the basics of installing shell-based R and RStudio user-interface; (3) show some simple R commands and scripts (e.g., translate long-to-wide data format, data simulation, data stratification and subsetting); (4) introduce variable types and their manipulation; (5) demonstrate simple mathematical functions, statistics, and matrix operators; (6) explore simple data visualization; and (7) introduce optimization and model fitting. The chapter appendix includes references to R introductory and advanced resources, as well as a primer on debugging.