Population genetics with R an introduction for life scientists /

Population genetics is an inherently quantitative discipline, yet often focuses upon abstract concepts which can be difficult to conceptualise and appropriately visualise at first glance. This book focuses on applying the hugely popular R software specifically to the field, offering an accessible, s...

Full description

Main Author: Láruson, Áki Jarl,
Other Authors: Reed, Floyd Allan,, Oxford Scholarship Online.
Format: eBook
Language: English
Published: Oxford : Oxford University Press, 2021.
Physical Description: 1 online resource (224 pages) : illustrations (black and white, and colour).
Edition: First edition.
Series: Oxford scholarship online.
Subjects:
Summary: Population genetics is an inherently quantitative discipline, yet often focuses upon abstract concepts which can be difficult to conceptualise and appropriately visualise at first glance. This book focuses on applying the hugely popular R software specifically to the field, offering an accessible, step-by-step guide to tackling the challenges of achieving effective data interpretation and summary. The authors adopt an engaging 'learning by doing' approach that will enable readers to develop an intuitive understanding of key population genetics concepts through the use of R.
Item Description: This edition also issued in print: 2021.
Includes bibliographical references and index.
Population genetics is an inherently quantitative discipline, yet often focuses upon abstract concepts which can be difficult to conceptualise and appropriately visualise at first glance. This book focuses on applying the hugely popular R software specifically to the field, offering an accessible, step-by-step guide to tackling the challenges of achieving effective data interpretation and summary. The authors adopt an engaging 'learning by doing' approach that will enable readers to develop an intuitive understanding of key population genetics concepts through the use of R.
Specialized.
Physical Description: 1 online resource (224 pages) : illustrations (black and white, and colour).
Audience: Specialized.
Bibliography: Includes bibliographical references and index.
ISBN: 9780191868092 (ebook) :