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Books > Science & Mathematics > Biology, life sciences > Life sciences: general issues
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Introduction to Nonparametric Statistics for the Biological Sciences Using R (Hardcover, 1st ed. 2016)
Loot Price: R3,974
Discovery Miles 39 740
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Introduction to Nonparametric Statistics for the Biological Sciences Using R (Hardcover, 1st ed. 2016)
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This book contains a rich set of tools for nonparametric analyses,
and the purpose of this text is to provide guidance to students and
professional researchers on how R is used for nonparametric data
analysis in the biological sciences: To introduce when
nonparametric approaches to data analysis are appropriate To
introduce the leading nonparametric tests commonly used in
biostatistics and how R is used to generate appropriate statistics
for each test To introduce common figures typically associated with
nonparametric data analysis and how R is used to generate
appropriate figures in support of each data set The book focuses on
how R is used 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. Following an introductory lesson on nonparametric
statistics for the biological sciences, the book is organized into
eight self-contained lessons on various analyses and tests using R
to broadly compare differences between data sets and statistical
approach.
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