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商品描述
Unlock the Power of Data Analysis with R
Whether you are a researcher, student, or professional new to programming, this book provides a step-by-step guide to mastering R for quantitative and mixed-methods analysis. Designed for those who still need to gain programming experience or wish to learn a new one, it demystifies data analysis, helping you tackle challenges from data wrangling to statistical modelling. Packed with practical examples, engaging explanations, and real-world applications, this book equips you with the tools to analyse data confidently, identify trends, and uncover meaningful insights.
Transform Your Approach to Research
Through clear instructions and hands-on exercises, you will learn to prepare datasets, explore patterns with descriptive statistics, and create impactful visualisations. You will also gain confidence in performing statistical tests such as comparing groups, and building predictive models using regression techniques. This book provides strategies and tools to streamline your workflow, whether handling large datasets, managing missing data, or conducting mixed-methods research.
Each chapter builds your expertise incrementally, supported by accessible examples and interactive online training. The accompanying training modules, available through the book's companion package, offer engaging exercises and extended examples to reinforce learning. These features enable you to practise skills and retain knowledge more effectively.
This book, which strongly focuses on reproducible research, is an indispensable guide for anyone looking to enhance their analytical toolkit and unlock R's full potential for data analysis and statistical modelling.
商品描述(中文翻譯)
解鎖數據分析的力量：使用 R
無論您是研究人員、學生，還是剛接觸程式設計的專業人士，本書提供了一個逐步指南，幫助您掌握 R 進行定量和混合方法分析。這本書專為那些尚未獲得程式設計經驗或希望學習新技能的人設計，解開數據分析的神秘面紗，幫助您應對從數據整理到統計建模的挑戰。書中充滿了實用的範例、生動的解釋和真實世界的應用，讓您能夠自信地分析數據、識別趨勢並發掘有意義的見解。
改變您的研究方法
通過清晰的指導和實作練習，您將學會準備數據集、使用描述性統計探索模式，並創建有影響力的視覺化圖表。您還將在執行統計測試（例如比較組別）和使用回歸技術建立預測模型方面獲得信心。本書提供了簡化工作流程的策略和工具，無論是處理大型數據集、管理缺失數據，還是進行混合方法研究。
每一章都逐步提升您的專業知識，並提供易於理解的範例和互動式的線上訓練。隨書附帶的訓練模組，通過書籍的伴隨包提供，提供引人入勝的練習和擴展範例，以加強學習。這些特性使您能夠更有效地練習技能並保留知識。
這本書強調可重複的研究，是任何希望增強其分析工具包並充分發揮 R 在數據分析和統計建模潛力的人的必備指南。
作者簡介
As a Reader/Associate Professor at the University of Warwick, the author's teaching and research span Organisational Behaviour and Change, International Management, and the development of diagnostic tools for improving organisational outcomes. His research has led to impactful initiatives, such as the Global Education Profiler (GEP), used by universities worldwide to foster social integration on campus and benchmark their internationalisation efforts. These experiences have shaped his ability to create accessible resources, like this book, empowering readers to bridge knowledge gaps and apply analytical techniques confidently to applied settings. His work reflects a commitment to enhancing learning and fostering meaningful change through evidence-based methods by making research tools, like R and RStudio, more accessible.
作者簡介(中文翻譯)
作為華威大學的讀者/副教授，作者的教學和研究涵蓋組織行為與變革、國際管理，以及開發用於改善組織成果的診斷工具。他的研究促成了具有影響力的倡議，例如全球教育評估工具（Global Education Profiler, GEP），該工具被全球大學用來促進校園內的社會融合並基準其國際化努力。這些經驗塑造了他創建可獲得資源的能力，例如這本書，幫助讀者彌補知識差距，並自信地將分析技術應用於實際情境。他的工作反映了通過基於證據的方法來增強學習和促進有意義變革的承諾，並使研究工具（如 R 和 RStudio）變得更易於獲得。
