Statistics: An Introduction Using R

by Michael J. Crawley

"...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006) A revised and updated edition of this bestselling introductory textbook to statistical analysis using the leading free software package RThis new edition of a bestselling title offers a concise introduction to a broad array of statistical methods, at a level that is elementary enough to appeal to a wide range of disciplines. Step-by-step instructions help the non-statistician to fully understand the methodology. The book covers the full range of statistical techniques likely to be needed 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.

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

360 pages, Kindle Edition

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.