A First Course in Statistical Programming with R
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'… with this book, you can be up and running, doing very advanced work with R in a matter of minutes. Using a series of code examples, the authors take you through many of the basic capabilities of the package. All that is needed to follow the examples is a basic understanding of control constructs such as the if-then, loops and functions as well as knowledge of the underlying mathematics.' Charles Ashbacher, Journal of Recreational Mathematics
Product Description
This is the only introduction you'll need to start programming in R, the open-source language that is free to download, and lets you adapt the source code for your own requirements. Co-written by one of the R Core Development Team, and by an established R author, this book comes with real R code that complies with the standards of the language. Unlike other introductory books on the ground-breaking R system, this book emphasizes programming, including the principles that apply to most computing languages, and techniques used to develop more complex projects. Learning the language is made easier by the frequent exercises and end-of-chapter reviews that help you progress confidently through the book. Solutions, datasets and any errata will be available from the book's web site. The many examples, all from real applications, make it particularly useful for anyone working in practical data analysis.
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Most Helpful Customer Reviews
16 of 16 people found the following review helpful:
5.0 out of 5 stars
If you want to get the best out of R buy this book,
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This review is from: A First Course in Statistical Programming with R (Paperback)
I have been using R in statistics courses for a few years and there are many introductions to R that cover the command structure and the statistical techniques, but none of them look at R as a programming language and take you through the steps of learning to program with R.
This book takes you from the first simple steps through to simulation, matrices and iterative optimisation. It also includes a guide for good programming practice. It includes an explanation of Monte Carlo integration that anyone can understand and shows the benefits of learning through practice. This book makes probability so much more accessible to students by letting them see what is actually happening in a graphical and practical way. I think the book is fantastic and well worth the money.
2 of 5 people found the following review helpful:
2.0 out of 5 stars
Odd choice of learning material for an introductory text,
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This review is from: A First Course in Statistical Programming with R (Paperback)
Having done a reasonable job of introducing the basic syntax of the R programming language, the book then lurches into some rather advanced and specialist subjects, for example dedicating a whole section to algorithms for generating random numbers (for an introductory text, you would probably just want to know about the rnorm function).
If you are interested in Monte Carlo simulation or numerical optimisation using the R language, this is the book for you. Readers hoping to learn to use R to perform standard statistical testing will be disappointed.
0 of 2 people found the following review helpful:
2.0 out of 5 stars
not very helpful,
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This review is from: A First Course in Statistical Programming with R (Paperback)
didn't excatly find what I was looking for in the book.
Could be laid out a bit better.
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