Really 3.5 stars out of 5.
I came to this book after the author commented on another review and mentioned this book. I purchased the Kindle version and it displayed pretty well on the Windows Version of Kindle. I am not an ecologist, but I understand other than the examples the content applies to other fields.
With books directed at Advance College Students/Graduate Students there are really two audiences. The students who have required advanced knowledge/aptitude for math and computer programming and everyone else. This book is directed at everyone else. It is a gentle introduction to R, Excel and Statistics. With that said statistics will always be a harder topic, so don't expect miracles after you have read this book. As you are reading take good notes. I ended up with 2 pages and highlighted a few sections I will come back to in future.
With a Research Methods class/book you want to make the topic presented to be understandable enough that student wants to continue their education (yes there are also those who prefer the weed out approach). This book succeeds at making the subject understandable enough that the reader can continue with their studies.
Based on the somewhat low Kindle price at least make this book recommended from me for the right audience. It was a good refresher from my intro methods class and provided some R basics that the advance books mention once and quickly ignore. Also the author doesn't go too far with showing how complex an R command or the R Syntax can be. It was nice for the author to highlight if tests are for parametric data or not. Surprisingly some books really ignore this or hide the information in statistic jargon. There was also information on transforming data that you don't see in intro books .
** The Bad **
1. You will quickly out grow parts of the book. Some parts are overly simplified on the statistic explanations . Some disclaimers or scope limitations are missing. This may have been intentional, but it makes the life of this book pretty short for statistics. You are going to need a supplemental statistics/research book to go with this book. Sorry I have no recommendations for "that good book".
As one example multiple regression methods are listed an instruction on how to run commands, but regression diagnostics or assumptions (BLUE) is not mentioned as all. It should have at least referenced something to let the reader know if they are in front of certain audience, the better be able to answer some questions.
2. The flow and organization is off in parts. There are some typos. When commands are listed between chapters and sections different wording is used in syntax examples. It would be better from a consistency standpoint for the reader if they are all the same. The author probably wrote different chapters at different times and the consistency was off as a result.
3. The book leaves some stuff out that should be included. As one example, the book doesn't tell you how to install additional packages (I used the kindle search feature to check this).
4. I don't recall the book really going over additional packages/features. Everything was native commands. This may help avoid confusion to the reader/learner, so it may not be bad.
5. All of the Excel parts the book has I pretty much skipped over, my review does not speak to those.
- Paperback: 324 pages
- Language: English
- ISBN-10: 1907807128
- ISBN-13: 978-1907807121
- Product Dimensions: 17 x 1.8 x 24.4 cm
- Boxed-product Weight: 540 g
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