A Beginner's Guide to R (2009). Zuur, Ieno and Meesters. Springer
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Based on their extensive experience with teaching R and statistics to applied scientists, the authors provide a beginner's guide to R. To avoid the difficulty of teaching R and statistics at the same time, statistical methods are kept to a minimum. The text covers how to download and install R, import and manage data, elementary plotting, an introduction to functions, advanced plotting, and common beginner mistakes.
Reviewer comments
- This book contains everything you need to know to get started with R. "Its biggest advantage is that it aims only to teach R...It organizes R commands very efficiently, with much teaching guidance included. I would describe this book as being handy--it's the kind of book that you want to keep in your jacket pocket or backpack all the time, ready for use, like a Swiss Army knife." Loveday Conquest, University of Washington
- "Whilst several books focus on learning statistics in R..., the authors of this book fill a gap in the market by focusing on learning R whilst almost completely avoiding any statistical jargon...The fact that the authors have very extensive experience of teaching R to absolute beginners shines throughout." Mark Mainwaring, Lancaster University
- "Exactly what is needed...This is great, nice work. I love the ecological/biological examples; they will be an enormous help." Andrew J. Tyne, University of Nebraska-Lincoln
Table of contents
Sample chapters
Data and R code
- Click here for all the data in ascii format. And three Excel files used in the exercises.
- Click here for all the R code.