Abstract
R is a statistical analysis and graphics environment that is comparable in scope to the SAS, SPSS, Stata, and S-Plus packages. The basic installation includes all of the most commonly used statistical techniques such as univariate analysis, categorical data analysis, hypothesis tests, generalized linear models, multivariate analysis, and time-series analysis. It also has excellent facilities for producing statistical graphics. Anything not included in the basic installation is usually covered by one of the thousands of add-on packages available.
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© 2014 Sarah Stowell
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Stowell, S. (2014). R Fundamentals. In: Using R for Statistics. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-0139-8_1
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DOI: https://doi.org/10.1007/978-1-4842-0139-8_1
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Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-0140-4
Online ISBN: 978-1-4842-0139-8
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