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E-book
Author Ogle, Derek H., author.

Title Introductory fisheries analyses with R / Derek H. Ogle, Northland College, Ashland, Wisconsin, USA
Published Boca Raton : CRC Press, Taylor & Francis Group, [2016]
©2016
Online access available from:
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Description 1 online resource (xix, 317 pages) : illustrations
Series The R series
Chapman & Hall/CRC the R series (CRC Press)
Contents Front Cover; Dedication; Contents; Preface; Author; Chapter 1 -- (Very Brief) Introduction to R Basics; Chapter 2 -- Loading Data and Basic Manipulations; Chapter 3 -- Plotting Fundamentals; Chapter 4 -- Age Comparisons; Chapter 5 -- Age-Length Keys; Chapter 6 -- Size Structure; Chapter 7 -- Weight-Length Relationships; Chapter 8 -- Condition; Chapter 9 -- Abundance from Capture-Recapture Data; Chapter 10 -- Abundance from Depletion Data; Chapter 11 -- Mortality Rates; Chapter 12 -- Individual Growth; Chapter 13 -- Recruitment; References; Back Cover
Summary A How-To Guide for Conducting Common Fisheries-Related Analyses in R Introductory Fisheries Analyses with R provides detailed instructions on performing basic fisheries stock assessment analyses in the R environment. Accessible to practicing fisheries scientists as well as advanced undergraduate and graduate students, the book demonstrates the flexibility and power of R, offers insight into the reproducibility of script-based analyses, and shows how the use of R leads to more efficient and productive work in fisheries science. The first three chapters present a minimal introduction to the R environment that builds a foundation for the fisheries-specific analyses in the remainder of the book. These chapters help you become familiar with R for basic fisheries analyses and graphics. Subsequent chapters focus on methods to analyze age comparisons, age-length keys, size structure, weight-length relationships, condition, abundance (from capture-recapture and depletion data), mortality rates, individual growth, and the stock-recruit relationship. The fundamental statistical methods of linear regression, analysis of variance (ANOVA), and nonlinear regression are demonstrated within the contexts of these common fisheries analyses. For each analysis, the author completely explains the R functions and provides sufficient background information so that you can confidently implement each method. Web ResourceThe author's website at http://derekogle.com/IFAR/ includes the data files and R code for each chapter, enabling you to reproduce the results in the book as well as create your own scripts. The site also offers supplemental code for more advanced analyses and practice exercises for every chapter
Bibliography Includes bibliographical references
Notes Text in English
Online resource; title from PDF title page (EBSCO, viewed December 18, 2015)
Subject Fishery sciences -- Computer programs
Fisheries -- Computer programs.
R (Computer program language)
TECHNOLOGY & ENGINEERING -- Agriculture -- General.
Fisheries -- Computer programs
R (Computer program language)
Genre/Form Electronic books
Statistics
Form Electronic book
ISBN 9781482235227
1482235226
9781315371986
1315371987