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: Aidan G. C. Wright, Michael N. Hallquist Название: The Cambridge Handbook of Research Methods in Clinical Psychology ISBN: 1316639525 ISBN-13(EAN): 9781316639528 Издательство: Cambridge Academ Рейтинг: Цена: 64410.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This Handbook provides an overview and guide for state-of-the-art research methods in clinical psychological science. It is the ideal resource for clinical psychologists, graduate students studying clinical psychology, and practitioners or researchers in allied disciplines including psychiatry and social work.
Автор: Kumiko Murata Название: ELF Research Methods and Approaches to Data and Analyses ISBN: 0367898799 ISBN-13(EAN): 9780367898793 Издательство: Taylor&Francis Рейтинг: Цена: 148010.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book systematically explores and discusses English as a Lingua Franca (ELF) research methods frequently deployed by ELF researchers in analysing their data. It covers three different approaches: corpus-based, both written and spoken, conversation analytic and narrative approaches.
Автор: Connie Clare, Maria Cruz Название: Engaging Researchers with Data Management ISBN: 1783747986 ISBN-13(EAN): 9781783747986 Издательство: Неизвестно Рейтинг: Цена: 60020.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This handbook is a collaboration by research institutions, for research institutions. It aims not only to inspire and engage, but also to help drive cultural change towards better data management. It has been written for anyone interested in RDM, or simply, good research practice.
Автор: Uwe Engel, Anabel Quan-Haase, Sunny Xun Название: Handbook of Computational Social Science, Volume 2 ISBN: 1032077700 ISBN-13(EAN): 9781032077703 Издательство: Taylor&Francis Рейтинг: Цена: 58170.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: The Handbook of Computational Social Science is a comprehensive reference source for scholars across multiple disciplines. It outlines key debates in the field, showcasing novel statistical modeling and machine learning methods, and draws from specific case studies to demonstrate the opportunities and challenges in CSS approaches.
Автор: Kristin Briney Название: Data Management for Researchers: Organize, maintain and share your data for research success ISBN: 1784270113 ISBN-13(EAN): 9781784270117 Издательство: NBN International Рейтинг: Цена: 42240.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Learning how to manage, share and preserve data is essential for active researchers. A comprehensive guide for scientific researchers providing everything they need to know about data management and how to organize, document, use and reuse their data.
Автор: Humble Aine Название: How Qualitative Data Analysis Happens ISBN: 1138044679 ISBN-13(EAN): 9781138044678 Издательство: Taylor&Francis Рейтинг: Цена: 38780.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This volume shows how researchers actively and consciously arrive at their themes, revealing the complexity of making sense of thousands of pages of interview data, multiple data sources, and diverse types of data.
Автор: Fogarty, Brian J Название: Quantitative social science data with r ISBN: 1526411504 ISBN-13(EAN): 9781526411501 Издательство: Sage Publications Рейтинг: Цена: 44340.00 T Наличие на складе: Невозможна поставка. Описание: Relevant, engaging, and packed with student-focused learning features, this book provides the basic step-by-step introduction to quantitative research and data every student needs.
Автор: Kristi Jackson, Patricia Bazeley Название: Qualitative Data Analysis with NVivo ISBN: 1526449935 ISBN-13(EAN): 9781526449931 Издательство: Sage Publications Рейтинг: Цена: 116160.00 T Наличие на складе: Поставка под заказ. Описание: Practical, focused and jargon-free this book shows you the power and potential of NVivo software across a wide range of research questions, data types, perspectives and methodologies.
Автор: Andy Kirk Название: Data Visualisation: A Handbook for Data Driven Design ISBN: 1526468921 ISBN-13(EAN): 9781526468925 Издательство: Sage Publications Рейтинг: Цена: 50680.00 T Наличие на складе: Поставка под заказ. Описание: With over 200 images and extensive how-to and how-not-to examples, the new edition of the book The Financial Times voted one of the `six best books for data geeks` has everything students and scholars need to understand and create effective data visualisations.
Автор: Michael Schnegg, Edward D. Lowe Название: Comparing Cultures: Innovations in Comparative Ethnography ISBN: 1108720013 ISBN-13(EAN): 9781108720014 Издательство: Cambridge Academ Рейтинг: Цена: 25350.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: With contributions from a global spread of scholars, this book is a timely guide to comparative ethnographic methods and tools, allowing qualitative researchers in a range of social scientific fields, such as anthropology and sociology, to ensure that their work is more contextually sensitive, and theoretically robust.
Автор: Gabriele Griffin, Matt Hayler Название: Research Methods for Reading Digital Data in the Digital Humanities ISBN: 1474409601 ISBN-13(EAN): 9781474409605 Издательство: Bloomsbury Academic Рейтинг: Цена: 95040.00 T Наличие на складе: Невозможна поставка. Описание:
The first volume to introduce the techniques and methods of reading digital material for research
Digital Humanities has become one of the new domains of academe at the interface of technological development, epistemological change, and methodological concerns. This volume explores how digital material might be read or utilized in research, whether that material is digitally born as fanfiction, for example, mostly is, or transposed from other sources. The volume asks questions such as what happens when text is transformed from printed into digital matter, and how that impacts on the methods we bring to bear on exploring that technologized matter, for example in the case of digital editions. Issues such as how to analyse visual material in digital archives or Twitter feeds, how to engage in data mining, what it means to undertake crowd-sourcing, big data, and what digital network analyses can tell us about online interactions are dealt with. This will give Humanities researchers ideas for doing digitally based research and also suggest ways of engaging with new digital research methods.
Key features
First volume centred on the navigation and interpretation of digital material as research methods in the Humanities
Up-to-date analyses of issues and methods including big data, crowdsourcing, digital network analysis, working with digital additions
Based on actual research projects such as para-textual work with fanfiction, reading twitter, different kinds of distant and close readings
Казахстан, 010000 г. Астана, проспект Туран 43/5, НП2 (офис 2) ТОО "Логобук" Тел:+7 707 857-29-98 ,+7(7172) 65-23-70 www.logobook.kz
