Statistics: An Introduction Using R

by Michael J. Crawley

Computer software is an essential tool for many statistical modelling and data analysis techniques, aiding in the implementation of large data sets in order to obtain useful results. R is one of the most powerful and flexible statistical software packages available, and enables the user to apply a wide variety of statistical methods ranging from simple regression to generalized linear modelling. An Introduction using R is a clear and concise introductory textbook to statistical analysis using this powerful and free software, and follows on from the success of the author's previous best-selling title Statistical Computing.
* Features step-by-step instructions that assume no mathematics, statistics or programming background, helping the non-statistician to fully understand the methodology.
* Uses a series of realistic examples, developing step-wise from the simplest cases, with the emphasis on checking the assumptions (e.g. constancy of variance and normality of errors) and the adequacy of the model chosen to fit the data.
* The emphasis throughout is on estimation of effect sizes and confidence intervals, rather than on hypothesis testing.
* Covers the full range of statistical techniques likely to be need to analyse the data from research projects, including elementary material like t-tests and chi-squared tests, intermediate methods like regression and analysis of variance, and more advanced techniques like generalized linear modelling.
* Includes numerous worked examples and exercises within each chapter.
* Accompanied by a website featuring worked examples, data sets, exercises and



An Introduction using R is the first text to offer such a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a broad range of disciplines. It is primarily aimed at undergraduate students in medicine, engineering, economics and biology - but will also appeal to postgraduates who have not previously covered this area, or wish to switch to using R.

Genres: Mathematics, Science, Reference, Nonfiction, Economics, Programming, Textbooks

327 pages, Paperback

First published March 11, 2005

Reviews

[Benu B · Rating 4 out of 5]

An excellent book. It's written in a very comprehensive manner. The best thing about this book is that it doesn't enlist jargons to explain mathematics. It's accessible, fun to read and, and above all, practical. It helps you. If you do statistics with R, then you may want to grab a copy of it.

The book, although it says is an introduction, it has sufficiently advanced materials and is a good companion to anyone interested in statistics. People with prior knowledge of statistics can use this as a quick reference. Teachers might find this particularly useful- I mean the teachers of statistics- because the book is written in damn accessible language.

[Rogue · Rating 4 out of 5]

I read the whole thing.
This was good but I could have done with some bits near the end explained in a bit more detail, as my maths knowledge is not good. The first few chapters were great background though.

[Ravinder Kumar · Rating 5 out of 5]

Clear, example laden description of how to get using R with some proficiency. Enjoyed working with R with this book in hand.

[Ame Hernández · Rating 4 out of 5]

Good for the basics

[Carter · Rating 2 out of 5]

Presents itself as an intro text but I’d feel bad for anyone who is given this as an intro to stats.

[Damian · Rating 4 out of 5]

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.

[Staffan Höstman · Rating 2 out of 5]

This book actually assumes a great deal of stats knowledge. The book is probably a 4 star book but the title promises things that are not fulfilled.

[Isscandar · Rating 3 out of 5]

Ho qualche dubbio su questo libro.
Ho trovato interessanti e coinvolgenti i primi capitoli ma dal capitolo 7 in poi le cose iniziano a peggiorare.
Questa recensione �� da completare.

[Arun Vasireddy · Rating 5 out of 5]

This is the perfect minimalist book for an introduction to programming using R. The book directly put me at a level to complete all my basic research needs.

[Sergio Uribe]

Simple, directa y útil introducción tanto a R como a la estadística, donde se aprende haciendo. Otro libro similar es el ahora clásico de Peter Dalgaard.