Statistics: An Introduction Using R / Edition 1

Statistics: An Introduction Using R / Edition 1

by Michael J. Crawley
     
 

ISBN-10: 0470022981

ISBN-13: 9780470022986

Pub. Date: 04/22/2005

Publisher: Wiley

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…  See more details below

Overview

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. Statistics: 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.

Statistics: 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.

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Product Details

ISBN-13:
9780470022986
Publisher:
Wiley
Publication date:
04/22/2005
Edition description:
Older Edition
Pages:
342
Product dimensions:
6.64(w) x 9.60(h) x 0.80(d)

Table of Contents

Ch. 1Fundamentals1
Ch. 2Dataframes15
Ch. 3Central tendency23
Ch. 4Variance33
Ch. 5Single samples51
Ch. 6Two samples73
Ch. 7Statistical modelling103
Ch. 8Regression125
Ch. 9Analysis of variance155
Ch. 10Analysis of covariance187
Ch. 11Multiple regression195
Ch. 12Contrasts209
Ch. 13Count data227
Ch. 14Proportion data247
Ch. 15Death and failure data263
Ch. 16Binary response variable269
App. 1Fundamentals of the R language281

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