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Introduction to Nonparametric Statistics for the Biological Sciences Using R

Thomas W. MacFarland; Jan M. Yates

978-3-319-30634-6

2016
Edition 1
- Eight self-contained lessons instructing how to use R to distinguish between data that could be classified as nonparametric as opposed to data that could be classified as parametric, with both approaches to data classification covered extensively
- From data to final interpretation of outcomes - starts with a simple real-world data set from the biological sciences and outlines step-by-step guidance on how R can be used to address nonparametric data analysis and the generation of graphical images to promote effective communication of outcomes
- Focuses on data review and accompanying data quality review processes - so that outcomes can be trusted and hold up to peer review
- Includes supplementary material: sn.pub/extras
€419

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