Abstract
R is undoubtedly one of the most popular languages for machine learning. It is a programming language and free software environment used mainly for statistical computing and data visualization. R has been used by academics, data scientists, and statisticians for a long time. It is a statistical language, which is excellent for machine learning, statistics, and use as a visualization tool. There is an integration between Microsoft technologies and R language that enhances the capability of machine learning in Microsoft applications and reports. R is an open source and proprietory language that is available for the Windows and Mac operating systems. It can be extended via packages [1]. This chapter provides an overview on installing RStudio, and how to extend the R capability via installing packages, R data structures, machine learning, and statistical analysis and visualization with R will be explained.
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© 2019 Leila Etaati
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Etaati, L. (2019). Introduction to R. In: Machine Learning with Microsoft Technologies. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3658-1_2
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DOI: https://doi.org/10.1007/978-1-4842-3658-1_2
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3657-4
Online ISBN: 978-1-4842-3658-1
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