Introduction to Nonparametric Statistics for the Biological Sciences Using R

This book contains a rich set of tools for nonparametric analyses, and the purpose of this supplemental 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...

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Bibliographic Details
Main Authors: MacFarland, Thomas W., Yates, Jan M. (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2016, 2016
Edition:1st ed. 2016
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
Table of Contents:
  • Chapter 1 Nonparametric Statistics for the Biological Sciences
  • Chapter 2 Sign Test
  • Chapter 3 Chi-Square
  • Chapter 4 Mann-Whitney U Test
  • Chapter 5 Wilcoxon Matched-Pairs Signed-Ranks Test
  • Chapter 6 Kruskal-Wallis H-Test for Oneway Analysis of Variance (ANOVA) by Ranks
  • Chapter 7 Friedman Twoway Analysis of Variance (ANOVA) by Ranks
  • Chapter 8 Spearman's Rank-Difference Coefficient of Correlation
  • Chapter 9 Other Nonparametric Tests for the Biological Sciences