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Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R.
Containing tools for nonparametric analyses, this supplemental text gives guidance on how R is used for nonparametric data analysis in the biological sciences, focusing on how R is used to distinguish between data that could be classified as nonparametric as opposed to parametric, with both approaches to data classification covered extensively.
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