Daniel Dauber

R for Non-Programmers (eBook, PDF)

• Format: PDF

Produktbeschreibung

The book introduces interactive elements, including chapter exercises in the accompanying R package, facilitating readers internalising this new programming language and statistical techniques. This interactive approach, particularly beneficial for novices, enhances the overall learning experience and distinguishes it as a valuable resource.

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Produktdetails

• Verlag: Taylor & Francis eBooks
• Seitenzahl: 400
• Erscheinungstermin: 26. Juni 2025
• Englisch
• ISBN-13: 9781040355923
• Artikelnr.: 74279536

Autorenporträt

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.

Inhaltsangabe

Welcome About the author Acknowledgements 1. Readme. before you get started
2. Why learn a programming language as a non-programmer? 3. Setting up R
and RStudio 4. The RStudio Interface 5. R Basics: The very fundamentals 6.
Starting your R projects 7. Data Wrangling 8. Descriptive Statistics 9.
Sources of Bias: Outliers, Normality and other 'Conundrums' 10.
Correlations 11. Power: You either have it or you don't 12. Comparing
Groups 13. Regression: Creating Models to Predict Future Observations 14.
Mixed-Methods Research: Analysing Qualitative Data in R 15. Where to go
from here: The next steps in your R journey Epilogue Appendix References