Statistics: An Introduction Using R / Edition 1

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Overview

"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 Computational Statistics." 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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Editorial Reviews

From the Publisher
"I would recommend this book to those who need to teach statistics via the medium of R and those self learners who want to acquire the basic techniques of statistics together with powerful statistical software." (Technometrics, May 2006)

"…will provide you with enhanced statistical insights…and access to a free and powerful computing language." (Clinical Chemistry, May 2006)

"...I know of no better book of its kind..." (Journal of the Royal Statistical Society, Vol 169 (1), January 2006)

"…offers a demanding, non-calculus-based coverage of such standard topics as hypothesis testing, modeling, regression, ANOVA, and count data." (CHOICE, November 2005)

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Product Details

  • ISBN-13: 9780470022986
  • Publisher: Wiley
  • Publication date: 4/22/2005
  • Edition description: Older Edition
  • Edition number: 1
  • Pages: 342
  • Product dimensions: 6.64 (w) x 9.60 (h) x 0.80 (d)

Table of Contents

Ch. 1 Fundamentals 1
Ch. 2 Dataframes 15
Ch. 3 Central tendency 23
Ch. 4 Variance 33
Ch. 5 Single samples 51
Ch. 6 Two samples 73
Ch. 7 Statistical modelling 103
Ch. 8 Regression 125
Ch. 9 Analysis of variance 155
Ch. 10 Analysis of covariance 187
Ch. 11 Multiple regression 195
Ch. 12 Contrasts 209
Ch. 13 Count data 227
Ch. 14 Proportion data 247
Ch. 15 Death and failure data 263
Ch. 16 Binary response variable 269
App. 1 Fundamentals of the R language 281
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