Pedigree Analysis in R Books

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Pedigree Analysis in R


Pedigree Analysis in R
  • Author : Magnus Dehli Vigeland
  • Publisher : Academic Press
  • Release : 2021-03-15
  • ISBN : 0128244305
  • Language : En, Es, Fr & De
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Pedigree Analysis in R covers a wide range of applications in forensic and medical genetics. The book's material was developed through teaching numerous courses on genetic relatedness and pedigree analysis and includes extensive use of R and insights from a decade of research activities in forensic and medical genetics. The Ped Suite, a unified collection of R packages for pedigree analysis, will help users navigate the book's contents. Presents a coherent treatment of a variety of pedigree analyses Treats a variety of pedigree analysis, including theoretical backgrounds, an overview of R features/analysis, an in-depth analysis of a worked examples, exercises, and easy-to-follow R code with explanations

An Introduction to Data Analysis in R


An Introduction to Data Analysis in R
  • Author : Alfonso Zamora Saiz
  • Publisher : Springer Nature
  • Release : 2020-07-27
  • ISBN : 9783030489977
  • Language : En, Es, Fr & De
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This textbook offers an easy-to-follow, practical guide to modern data analysis using the programming language R. The chapters cover topics such as the fundamentals of programming in R, data collection and preprocessing, including web scraping, data visualization, and statistical methods, including multivariate analysis, and feature exercises at the end of each section. The text requires only basic statistics skills, as it strikes a balance between statistical and mathematical understanding and implementation in R, with a special emphasis on reproducible examples and real-world applications. This textbook is primarily intended for undergraduate students of mathematics, statistics, physics, economics, finance and business who are pursuing a career in data analytics. It will be equally valuable for master students of data science and industry professionals who want to conduct data analyses.

Pedigree Analysis in Human Genetics


Pedigree Analysis in Human Genetics
  • Author : Elizabeth Alison Thompson
  • Publisher :
  • Release : 1986
  • ISBN : UOM:39015009570147
  • Language : En, Es, Fr & De
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Population Viability Analysis


Population Viability Analysis
  • Author : Steven R. Beissinger
  • Publisher : University of Chicago Press
  • Release : 2002-05-04
  • ISBN : 0226041778
  • Language : En, Es, Fr & De
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As human populations and the resources required to support societies continue to grow, an increasing number of plant and animal species around the world are facing extinction. Given limited time, space, and money, how do we decide which management actions will be most effective to avert extinctions? In this book, many of the world's leading conservation and population biologists evaluate what has become a key tool in estimating extinction risk and evaluating potential recovery strategies—population viability analysis, or PVA. PVA integrates data on the life history, demography, and genetics of a species with information on environmental variability, using computer models ranging from simple measures of population growth rate to complex spatial simulations, to predict whether a given population will remain viable (i.e., not go extinct) under various management options. A synthetic and objective overview of the latest theoretical and methodological advances, Population Viability Analysis will be crucial reading for conservationists, land managers, and policy makers.

Population Management for Survival and Recovery


Population Management for Survival and Recovery
  • Author : Jonathan D. Ballou
  • Publisher : Columbia University Press
  • Release : 1995
  • ISBN : 0231101775
  • Language : En, Es, Fr & De
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Places the converging disciplines of wildlife management and captive management in the context of the developing field of population and habitat viability analysis. The contributors explore the science of the demographic management of small populations, both in zoos and in the wild.