The Resource Introduction to nonparametric statistics for the biological sciences using R, Thomas W. MacFarland, Jan M. Yates

Introduction to nonparametric statistics for the biological sciences using R, Thomas W. MacFarland, Jan M. Yates

Label
Introduction to nonparametric statistics for the biological sciences using R
Title
Introduction to nonparametric statistics for the biological sciences using R
Statement of responsibility
Thomas W. MacFarland, Jan M. Yates
Creator
Contributor
Author
Subject
Genre
Language
eng
Summary
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 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. This supplemental text is intended for: Upper-level undergraduate and graduate students majoring in the biological sciences, specifically those in agriculture, biology, and health science - both students in lecture-type courses and also those engaged in research projects, such as a master's thesis or a doctoral dissertation And biological researchers at the professional level without a nonparametric statistics background but who regularly work with data more suitable to a nonparametric approach to data analysis
Cataloging source
GW5XE
http://library.link/vocab/creatorName
MacFarland, Thomas W
Dewey number
519.5/4
Illustrations
illustrations
Index
index present
LC call number
QA278.8
Literary form
non fiction
Nature of contents
dictionaries
http://library.link/vocab/relatedWorkOrContributorName
Yates, Jan M.
http://library.link/vocab/subjectName
  • Nonparametric statistics
  • R (Computer program language)
  • Nonparametric statistics
  • R (Computer program language)
  • Computers
  • Science
  • Technology & Engineering
  • Mathematics
  • Mathematical & statistical software
  • Life sciences: general issues
  • Agricultural science
  • Probability & statistics
  • Medical
Label
Introduction to nonparametric statistics for the biological sciences using R, Thomas W. MacFarland, Jan M. Yates
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-30634-6
Instantiates
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Extent
1 online resource (xv, 329 pages)
File format
unknown
Form of item
online
Governing access note
License restrictions may limit access
Isbn
9783319306339
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-30634-6
Other physical details
illustrations (some color)
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)953691808
  • (OCoLC)ocn953691808
Label
Introduction to nonparametric statistics for the biological sciences using R, Thomas W. MacFarland, Jan M. Yates
Link
https://ezproxy.lib.ou.edu/login?url=http://link.springer.com/10.1007/978-3-319-30634-6
Publication
Note
Includes index
Antecedent source
unknown
Carrier category
online resource
Carrier category code
cr
Carrier MARC source
rdacarrier
Color
multicolored
Content category
text
Content type code
txt
Content type MARC source
rdacontent
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
Dimensions
unknown
Extent
1 online resource (xv, 329 pages)
File format
unknown
Form of item
online
Governing access note
License restrictions may limit access
Isbn
9783319306339
Level of compression
unknown
Media category
computer
Media MARC source
rdamedia
Media type code
c
Note
SpringerLink
Other control number
10.1007/978-3-319-30634-6
Other physical details
illustrations (some color)
Quality assurance targets
not applicable
Reformatting quality
unknown
Sound
unknown sound
Specific material designation
remote
System control number
  • (OCoLC)953691808
  • (OCoLC)ocn953691808

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