9780387790534

Introductory Statistics with R

by
  • ISBN13:

    9780387790534

  • ISBN10:

    0387790535

  • Edition: 2nd
  • Format: Paperback
  • Copyright: 7/25/2008
  • Publisher: Springer Verlag

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Summary

"This book provides an elementary-level introduction to R, targeting both non-statistician scientists in various fields and students of statistics. The main mode of presentation is via code examples with liberal commenting of the code and the output, from the computational as well as the statistical viewpoint. A supplementary R package can be downloaded and contains the data sets." "The statistical methodology includes statistical standard distributions, one- and two-sample tests with continuous data, regression analysis, one- and two-way analysis of variance, regression analysis, analysis of tabular data, and sample size calculations. In addition, the last six chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, survival analysis, Poisson regression, and nonlinear regression."--BOOK JACKET.

Author Biography

Peter Dalgaard is associate professor at the Biostatistical Department at the University of Copenhagen and has extensive experience in teaching within the PhD curriculum at the Faculty of Health Sciences. He was chairman of the Danish Society for Theoretical Statistics from 1996 to 2000. Peter Dalgaard has been a key member of the R Core Team since August 1997 and is well known among R users for his activity on

Table of Contents

Basicsp. 1
The R environmentp. 31
Probability and distributionsp. 55
Descriptive statistics and graphicsp. 67
One- and two-sample testsp. 95
Regression and correlationp. 109
Analysis of variance and the Kruskal-Wallis testp. 127
Tabular datap. 145
Power and the computation of sample sizep. 155
Advanced data handlingp. 163
Multiple regressionp. 185
Linear modelsp. 195
Logistic regressionp. 227
Survival analysisp. 249
Rates and Poisson regressionp. 259
Nonlinear curve fittingp. 275
Obtaining and installing R and the ISwR packagep. 289
Data sets in the ISwR packagep. 293
Compendiump. 325
Answers to exercisesp. 337
Bibliographyp. 355
Indexp. 357
Table of Contents provided by Blackwell. All Rights Reserved.

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