R For Dummies 2e 2nd Edition

This book is just what I was looking for. It teaches you how to program in R and does so with simple, easy to understand examples that you can try for yourself in R and RStudio. If you already know the R language and environment then this book is not for you. If you want to learn to do advanced statistical analysis or graphics with R, then this book is not for you. If you just want to learn how to do fairly basic programming functions in R because you are just beginning to learn R, then this book is definitely for you!

This covers a surprising variety of topics in R from the very basic to the more sophisticated such as linear models and anova. It also discusses user-friendly interfaces such as the very important R Studio. The breadth of topics is encyclopedic which is amazing for a book of this type. This is written in a clear and easy to understand manner with lots of examples. This book is one of the most complete and friendly books on R I have encountered.

This is an good book if you are a beginner. It needs to be expanded with examples of more of the mathematical functions. As an example in Chapter 4 Table 4-2 several very useful mathematical functions are listed. The section discussing these functions is very brief. It would be very easy to add a few extra examples of code with plots to illustrate these functions. Trigonometric functions are barely touched. For the beginner it is nice to include plotting of e^x, ln, cos, and sin functions. I would also suggest excercises with written out coding answers be added to help the reader solidify their understanding. That being said if you are a beginner, most of the code is short and easily entered.

R was the easiest part of becoming a Data Analyst for me. I bought the book in case I had trouble, but I didn't. I'll keep the book for future reference.

Very clear and understandable introduction to R. The book is written for readers who have no idea of how to use R. With the methods teached in this book, the reader is able to work with R by himself and to search for new R applications in the help files and in the net.

With very clear and insightful explanations, this book correctly starts with vectors and leaves subjects like graphics to the end, it offers solid advice on software engineering principles often neglected by books on R. Even seasoned R programmers will find pearls in this brilliant book. The authors have done a superb job.

Dummy series usually good. This one skips material and examples are not very good and difficult for beginners to execute. Other much better guides available.

Good, got halfway through, switched to Python