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Introductory Statistics with R (Statistics and Computing)
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- Sales Rank: #1677698 in Books
- Published on: 1994
- Binding: Paperback
Most helpful customer reviews
24 of 24 people found the following review helpful.
Excellent intro text for programming stats in R
By S. Fann
R is a useful freeware that can represent a hurdle to students and/or professionals who do not have formal training in computer programming. This book helps to clear those hurdles, and introduces a solid foundation from which statistics users can build new tools for their specific analyses. The rest of this review is broken up for experienced and new users.
****If you do not have a solid foundation in statistics, this book is not going to help you bridge that gap. Although the title is "Introductory Statistics with R" the author is clear that this is a book to learn how to program intro stats with R, and is not designed to teach any statistics tools. The author assumes you understand statistics and does not clarify statistics terms like p-value, test statistic, degrees of freedom, ANOVA, and the like. ****
New to R:
Although it may sound like a conundrum, the only way to learn a program is to program. Thankfully learning R can be easy, since the program is free, installs well on nearly all machines, and has detailed help files in various languages around the world. This is an excellent book for the R beginner, but I must stress the importance of ACTUALLY PROGRAMMING while you read this book. You CAN NOT read this book cover to cover and expect to learn R, programming doesn't work that way. This book can be a great resource for people who are brand new to R, but it requires hands on utilization of the source codes provided. Thankfully, this step is made that much easier for new users with a detailed explanation of how to obtain the ISWR package used with this text. Like everything in R, packages are free, and contain suites of functions and sometimes data. All the code in this book utilizes data from the ISWR package, so it will be easy to implement the code yourself and get the same results as the author.
Familiar with R:
Someone familiar with the notation in R can read this book cover to cover and find it enlightening. I had been programming in R for coursework in undergraduate statistics for four years before I found this text. It has a lot of useful data management code that people who taught themselves or learned for classes not dedicated to teaching the program will probably find useful. I found a lot of time-saving code that I wish I had known years ago!
0 of 0 people found the following review helpful.
Doesn't do the best job of explaining how to use R
By Garrett Heidenreich
Doesn't do the best job of explaining how to use R. I find internet resources much more useful. I wish I hadn't paid for the book.
1 of 1 people found the following review helpful.
A Great Book on R
By Steven Lewis
Great well-written book. Good for learning how to run common statistical analyses in R. Chapter's 1,2, and 10 are also great for learning basic R data management. I would definitely recommend it to both new and existing users of R.
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