Creating Research And Scientific Documents Using Microsoft Word

Creating Research and Scientific Documents Using Microsoft Word

Research fuels innovation—and with this focused guide to Microsoft Word, you can help increase your team’s collaborative power and effectiveness, and bring new research to life. Writing proposals, reports, journal articles, theses, and other technical documents as a team poses unique challenges, not the least of which is consistent presentation and voice. You must also manage the formatting and accuracy of figures, equations, and citations, and comply with the style rules of external publications. In this book you’ll learn from the authors’ extensive experience managing the authoring and publication of technical content, and gain specific practices and templates you can apply right away. Focuses on the unique challenges of writing and producing documents in an academic or commercial R&D setting Demonstrates how to use Microsoft Word to increase the quality of collaborative document preparation—including formatting, editing, citations management, commenting, and version control Includes downloadable templates that help automate creation of scientific documents Offers best-practices guidance for writing in teams and writing in the scientific genre

Creating Research and Scientific Documents with Microsoft Word

Doing Data Science in R

This approachable introduction to doing data science in R provides step-by-step advice on using the tools and statistical methods to carry out data analysis. Introducing the fundamentals of data science and R before moving into more advanced topics like Multilevel Models and Probabilistic Modelling with Stan, it builds knowledge and skills gradually. This book: Focuses on providing practical guidance for all aspects, helping readers get to grips with the tools, software, and statistical methods needed to provide the right type and level of analysis their data requires Explores the foundations of data science and breaks down the processes involved, focusing on the link between data science and practical social science skills Introduces R at the outset and includes extensive worked examples and R code every step of the way, ensuring students see the value of R and its connection to methods while providing hands-on practice in the software Provides examples and datasets from different disciplines and locations demonstrate the widespread relevance, possible applications, and impact of data science across the social sciences.