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Handling Strings with R
This book aims to help you get started with handling strings in R. It provides an overview of several resources that you can use for string manipulation. It covers useful functions in packages "base" and "stringr", printing and formatting characters, regular expressions, and other tricks.
Genetic Reconstruction of the Past
The same DNA technology that allows the analysis of a hair or tiny blood spot at a crime scene also enables sequencing the DNA of a bone fragment from a Neanderthal skeleton. Comparing the DNA sequences of different samples and comparing the frequency of specific genetic variants in different populations is a critical part of both forensic and evolutionary investigations. These two fields share a common goal: solving historical mysteries. The book discusses the intrinsic human curiosity about our origins and the desire to solve crimes and seek justice and how the recent emergence of DNA analysis has transformed our ability to address these universal human aspirations. The unifying theme of t...
Official Gazette
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Forensic DNA Applications
Forensic DNA Applications: An Interdisciplinary Perspective, Second Edition is fully updated to outline the latest advances in forensic DNA testing techniques and applications. It continues to fill the need for a reference book for people working in the field of forensic molecular biology testing and research as well as individuals investigating and adjudicating cases involving DNA evidence, whether they be civil or criminal cases. DNA techniques have greatly impacted obvious traditional forensic areas, but such advances have also positively affected myriad new areas of research and inquiry. It is possible today to think about solving forensic problems that were simply unheard of even a few ...
Efficient R Programming
There are many excellent R resources for visualization, data science, and package development. Hundreds of scattered vignettes, web pages, and forums explain how to use R in particular domains. But little has been written on how to simply make R work effectively—until now. This hands-on book teaches novices and experienced R users how to write efficient R code. Drawing on years of experience teaching R courses, authors Colin Gillespie and Robin Lovelace provide practical advice on a range of topics—from optimizing the set-up of RStudio to leveraging C++—that make this book a useful addition to any R user’s bookshelf. Academics, business users, and programmers from a wide range of bac...
TradeStation Made Easy!
Customize your trading plan for greater profits using the mostpopular charting software The majority of professional and individual traders use somekind of trading software on which to base their strategies. Withover 100,000 users, the most popular trading software today isTradeStation, published by TradeStation Technologies. While thissoftware is favored by many, TradeStation's computer language canbe confusing, especially for the novice. TradeStation Made Easy! is the first and only book to explainexactly how to use the unique computer language behind thisbestselling software program. It is not meant as a replacement forthe TradeStation manuals, instead it will cover the essence ofprogramm...
Structural Equation Models
This new edition surveys the full range of available structural equation modeling (SEM) methodologies. The book has been updated throughout to reflect the arrival of new software packages, which have made analysis much easier than in the past. Applications in a broad range of disciplines are discussed, particularly in the social sciences where many key concepts are not directly observable. This book presents SEM’s development in its proper historical context–essential to understanding the application, strengths and weaknesses of each particular method. This book also surveys the emerging path and network approaches that complement and enhance SEM, and that are growing in importance. SEM...
Learning R and Python for Business School Students
This book provides a guide for business school students, individual investors, and business professionals to learn R and Python, two open-source programming languages. It is unique since it allows the reader to learn programming in an “R-assisted learning environment”. The book provides 15 weeks’ worth of teaching material for the reader.
