Statistics:

This book is a decent introduction to statistical modelling with R. It contains clear and useful information about how to perform analysis, with guidance in both statistical interpretation and R programming. It outlines pitfalls such as over-dispersion, and clearly explains the meaning of the model results (coefficients, depending on the analysis).
However, it suffers from several issues:
- The quality of the R code presented is low. The Arial font is probably not the best font to display code, but more importantly the coding style is bad:
-* there is no spacing and indentation which make it hard to read
-* it promotes bad practices such as:
-** using T instead of TRUE - indicating that the author was a former S-plus user where this was not a bad practice -
-** naming the data "data" or "table" instead of a descriptive name
-** attaching the data sets but never detaching them
For an introduction to R, you could expect a faultless code.
- It uses a lot of data sets without much explanations. Most of the data seem artificial rather than real. Additionally you have to download the data from somewhere, and it is directly read with read.table. The author stores it in the "C:/temp/" folder which is definitely weird. Most equivalent books have a companion module so you can load it more comfortably. It could be useful that way of loading the data was clearly presented in the introduction, or if there were variations depending on the datasets, but it isn't.
- It is a little bit messy. There is only two title levels, and sections are not numbered. It is often difficult to know how a new section relates to the previous one: it is a subsection or a new one?
- Plots are not labelled or numbered. Most often they are directly in the correct place of the text, but at times it can be difficult to identify which image the author is referring to.
- Sometimes there are too much statistical formulas with too little information to be useful. Fortunately this happens only a few times through the book.
- References aren't cited in the text. This makes it difficult to know where to find additional information.
- It keeps repeating some unhelpful "you need a lot of practice" without more explanation or reference.
- The bookbinding is of poor quality and pages quickly detaches.
Overall this is a useful introduction to statistical modelling using R, but with too many imperfection to get a good mark. 

Review: Statistics: An Introduction Using R

Better as an intro to R than as an intro to stats, but if you already have a reasonable stats background, this book is great. Read full review