The "Data Guidebook for Scientists" offers a hands-on guide for scientific processing of data for the practitioner. It covers the range from "getting hands on" experimental results to ensuring their use for addressing possible future questions unknown at the time of analysis. Code snippets are provided to adjust the proposed workstream to specific needs of the reader.
Автор: Bremer Martina, Doerge Rebecca W. Название: Using R at the Bench: Step-By-Step Data Analytics for Biologists ISBN: 1621821129 ISBN-13(EAN): 9781621821120 Издательство: Неизвестно Рейтинг: Цена: 102690.00 T Наличие на складе: Невозможна поставка. Описание: Using R at the Bench: Step-by-Step Data Analytics for Biologists is a convenient bench-side handbook for biologists, designed as a handy reference guide for elementary and intermediate statistical analyses using the free/public software package known as R. The expectations for biologists to have a more complete understanding of statistics are growing rapidly. New technologies and new areas of science, such as microarrays, next-generation sequencing, and proteomics, have dramatically increased the need for quantitative reasoning among biologists when designing experiments and interpreting results. Even the most routine informatics tools rely on statistical assumptions and methods that need to be appreciated if the scientific results are to be correct, understood, and exploited fully. Although the original Statistics at the Bench is still available for sale and has all examples in Excel, this new book uses the same text and examples in R. A new chapter introduces the basics of R: where to download, how to get started, and some basic commands and resources. There is also a new chapter that explains how to analyze next-generation sequencing data using R (specifically, RNA-Seq). R is powerful statistical software with many specialized packages for biological applications and Using R at the Bench: Step-by-Step Data Analytics for Biologists is an excellent resource for those biologists who want to learn R. This handbook for working scientists provides a simple refresher for those who have forgotten what they once knew and an overview for those wishing to use more quantitative reasoning in their research. Statistical methods, as well as guidelines for the interpretation of results, are explained using simple examples. Throughout the book, examples are accompanied by detailed R commands for easy reference.
Автор: Stevens Peter A. J. Название: Qualitative data analysis: key approaches ISBN: 1529730422 ISBN-13(EAN): 9781529730425 Издательство: Sage Publications Рейтинг: Цена: 42230.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: An accessible introduction to help you get to grips with the how-to of qualitative data analysis, written by a multi-disciplinary team with years of experience teaching and analysing data using these methods
Автор: Liu, Xing Название: Categorical data analysis and multilevel modeling using r ISBN: 1544324901 ISBN-13(EAN): 9781544324906 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Categorical Data Analysis and Multilevel Modeling Using Rprovides a practical guide to regression techniques for analyzing binary, ordinal, nominal, and count response variables using the R software. Author Xing Liu offers a unified framework for both single-level and multilevel modeling of categorical and count response variables with both frequentist and Bayesian approaches. Each chapter demonstrates how to conduct the analysis using R, how to interpret the models, and how to present the results for publication. A companion website for this book contains datasets and R commands used in the book for students, and solutions for the end-of-chapter exercises on the instructor site.
Автор: Emily Gilbert Название: Understanding Longitudinal Data ISBN: 1529727243 ISBN-13(EAN): 9781529727241 Издательство: Sage Publications Рейтинг: Цена: 112990.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Do you want to use longitudinal data in a research project? This book provides a strong foundation in the fundamentals of longitudinal research, helping you understand where your secondary data come from and discussing core issues in longitudinal research, such as study design, sampling, attrition and missing data.
Covering each step of the research process, from understanding theory through data collection and analysis to writing up, the book offers practical tools to give you confidence in working with longitudinal data. It also:
Supports your learning with features such as 'Check your Understanding' questions and further reading.
Examines challenges unique to longitudinal research - and offers solutions.
Explores the realities of using longitudinal data with over 25 case studies of research from across the globe including Australia, Germany, Malaysia, New Zealand, the UK and the US.
This straightforward guide is the perfect introduction to longitudinal research for students and researchers across the social sciences.
Автор: Watkins, Daphne C Название: Secondary data in mixed methods research ISBN: 1506389570 ISBN-13(EAN): 9781506389578 Издательство: Sage Publications Рейтинг: Цена: 36950.00 T Наличие на складе: Поставка под заказ. Описание: Secondary Data in Mixed Methods Research by Daphne C. Watkins, is the latest contribution to the Mixed Methods Research Series. This brief text offers step-by-step procedures for incorporating existing data into mixed methods research designs, as well as identifying characteristics of datasets that make them good candidates for mixed methods projects.
Автор: Sue, Valerie M. Griffin, Matthew T. Название: Data visualization & presentation with microsoft office ISBN: 1483365158 ISBN-13(EAN): 9781483365152 Издательство: Sage Publications Рейтинг: Цена: 61250.00 T Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Heeringa Название: Applied Survey Data Analysis, Second Edition ISBN: 1498761607 ISBN-13(EAN): 9781498761604 Издательство: Taylor&Francis Рейтинг: Цена: 91860.00 T Наличие на складе: Нет в наличии. Описание: This book provides an overview of state-of-the-art approaches to the analysis of complex sample survey data. Building on the wealth of material on practical approaches to descriptive analysis and regression modeling from the first edition, this second edition expands the topics covered and presents more examples the analysis of survey data.
Автор: Williamson, Ben Название: Big data in education ISBN: 1473948002 ISBN-13(EAN): 9781473948006 Издательство: Sage Publications Рейтинг: Цена: 44340.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This cutting-edge overview explores big data and the related topic of computer code, examining the implications for education and schooling for today and the near future.
Автор: Telea, Alexandru C. Название: Data Visualization ISBN: 1466585269 ISBN-13(EAN): 9781466585263 Издательство: Taylor&Francis Рейтинг: Цена: 88800.00 T Наличие на складе: Нет в наличии.
Автор: Daniels, Lisa Minot, Nicholas W. Название: Introduction to statistics and data analysis using stata (r) ISBN: 1506371833 ISBN-13(EAN): 9781506371832 Издательство: Sage Publications Рейтинг: Цена: 120390.00 T Наличие на складе: Поставка под заказ. Описание: Offering a step-by-step introduction to data analysis in Stata, this text uses examples from a variety of disciplines and extensive detail on the commands in stata.
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