Author: ISBN : Product Detai New from Format: PDFBased 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. 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)
Direct download links available for PRETITLE A Beginner's Guide to R POSTTITLE- File Size: 8460 KB
- Print Length: 220 pages
- Publisher: Springer; 2009 edition (July 1, 2009)
- Sold by: Amazon Digital Services, Inc.
- Language: English
- ASIN: B003VM7G3I
- Text-to-Speech: Enabled
- Lending: Enabled
- Amazon Best Sellers Rank: #428,157 Paid in Kindle Store (See Top 100 Paid in Kindle Store)
- #57 in Kindle Store > Kindle eBooks > Nonfiction > Professional & Technical > Professional Science > Biological Sciences > Biostatistics
- #57 in Kindle Store > Kindle eBooks > Nonfiction > Professional & Technical > Professional Science > Biological Sciences > Biostatistics
A Beginner's Guide to R PDF
I've been wanting to learn R for a while now, but teaching and meetings have gotten in the way. I've been using this book for about a month and spend an hour per day. I do the exercises and also type in all of the R code in the book to see what works (though you can download the code from the book's website). I have found the book very straightforward. Certainly R takes some getting used to and ultimately I'll be using it for statistical applications, but, as noted by the authors, this book is written to introduce the reader to R, not to statistics with R. The explanations for what you are doing (and why) are very clear. The authors have experience teaching a well-constructed workshop for learning R, and it shows in the flow of the book. The text is clearly written and the steps are easy to follow. Learning builds from chapter to chapter. I would suggest, however, that though the authors indicate you can skip chapter 4 on simple functions with the first read, enough of what comes later hints at chapter 4 that I found it made more sense to go back and read chapter 4 rather than wonder what was going on. I have not found the same need to read Chapter 6 on the first pass, though I expect it will help in later understanding how to run statistical tests with R.
I am an ecologist, and the authors use strictly ecological examples, which also makes the book very accessible. I've also been working on a data set of my own and it is VERY satisfying to take what I've learned in this book and apply it directly to my own data. At my university, we have limited access to major stats packages (Minitab - yes, Systat - no) and the draw to R, a free and very adaptable system, is strong.
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