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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
Resource Information
The item Introduction to nonparametric statistics for the biological sciences using R, Thomas W. MacFarland, Jan M. Yates represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.This item is available to borrow from all library branches.
Resource Information
The item Introduction to nonparametric statistics for the biological sciences using R, Thomas W. MacFarland, Jan M. Yates represents a specific, individual, material embodiment of a distinct intellectual or artistic creation found in University of Oklahoma Libraries.
This item is available to borrow from all library branches.
 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 selfcontained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach. This supplemental text is intended for: Upperlevel undergraduate and graduate students majoring in the biological sciences, specifically those in agriculture, biology, and health science  both students in lecturetype 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
 Language
 eng
 Extent
 1 online resource (xv, 329 pages)
 Note
 Includes index
 Contents

 Chapter 1 Nonparametric Statistics for the Biological Sciences
 Chapter 2 Sign Test
 Chapter 3 ChiSquare
 Chapter 4 MannWhitney U Test
 Chapter 5 Wilcoxon MatchedPairs SignedRanks Test
 Chapter 6 KruskalWallis HTest for Oneway Analysis of Variance (ANOVA) by Ranks
 Chapter 7 Friedman Twoway Analysis of Variance (ANOVA) by Ranks
 Chapter 8 Spearman's RankDifference Coefficient of Correlation
 Chapter 9 Other Nonparametric Tests for the Biological Sciences
 Isbn
 9783319306339
 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
 Subject

 Electronic books
 Medical  Biostatistics
 Agricultural science
 Computers  Mathematical & Statistical Software
 R (Computer program language)
 Mathematical & statistical software
 Nonparametric statistics
 R (Computer program language)
 Nonparametric statistics
 Probability & statistics
 Life sciences: general issues
 Mathematics  Probability & Statistics  General
 Science  Life Sciences  General
 Technology & Engineering  Agriculture  General
 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 selfcontained lessons on various analyses and tests using R to broadly compare differences between data sets and statistical approach. This supplemental text is intended for: Upperlevel undergraduate and graduate students majoring in the biological sciences, specifically those in agriculture, biology, and health science  both students in lecturetype 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
 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 ChiSquare  Chapter 4 MannWhitney U Test  Chapter 5 Wilcoxon MatchedPairs SignedRanks Test  Chapter 6 KruskalWallis HTest for Oneway Analysis of Variance (ANOVA) by Ranks  Chapter 7 Friedman Twoway Analysis of Variance (ANOVA) by Ranks  Chapter 8 Spearman's RankDifference 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
 10.1007/9783319306346
 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
 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 ChiSquare  Chapter 4 MannWhitney U Test  Chapter 5 Wilcoxon MatchedPairs SignedRanks Test  Chapter 6 KruskalWallis HTest for Oneway Analysis of Variance (ANOVA) by Ranks  Chapter 7 Friedman Twoway Analysis of Variance (ANOVA) by Ranks  Chapter 8 Spearman's RankDifference 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
 10.1007/9783319306346
 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
Subject
 Agricultural science
 Computers  Mathematical & Statistical Software
 Electronic books
 Life sciences: general issues
 Mathematical & statistical software
 Mathematics  Probability & Statistics  General
 Medical  Biostatistics
 Nonparametric statistics
 Nonparametric statistics
 Probability & statistics
 R (Computer program language)
 R (Computer program language)
 Science  Life Sciences  General
 Technology & Engineering  Agriculture  General
Genre
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Architecture LibraryBorrow itGould Hall 830 Van Vleet Oval Rm. 105, Norman, OK, 73019, US35.205706 97.445050



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