Introductory Statistics With R (Google eBook)
R is an Open Source implementation of the well-known S language. It works on multiple computing platforms and can be freely downloaded. R is thus ideally suited for teaching at many levels as well as for practical data analysis and methodological development. 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. Brief sections introduce the statistical methods before they are used. A supplementary R package can be downloaded and contains the data sets. All examples are directly runnable and all graphics in the text are generated from the examples. The statistical methodology covered 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 four chapters contain introductions to multiple linear regression analysis, linear models in general, logistic regression, and survival analysis. 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 the R mailing lists.
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Introductory Statistics with R
Introductory Statistics with R. Journal article by Samantha C. Bates; The American Statistician, Vol. 58, 2004. Journal Article Excerpt ...
Introductory Statistics with R
Introductory Statistics with R. by Peter Dalgaard. Springer. ISBN 0-387-95475-9, 2002. Paperback 229mm × 155mm, xv+267 pages. [Image of Cover] ...
biostat.ku.dk/ ~pd/ ISwR.html
Dalgaard, Introductory Statistics with R, ch. 2.4-2.5. Snedecor and Cochran, Statistical Methods, ch. 4.1-4.3. Bulmer, Principles of Statistics, ch. 7. ...
www.stanford.edu/ group/ mapss/ syllabi/ PoliSci150A.doc
Using R for Introductory Statistics
Statistics: An introduction using R by Crawley, mj; Introductory Statistics with R by Peter Dalgaard; An R and S-Plus® Companion to Multivariate Analysis ...
wiener.math.csi.cuny.edu/ UsingR/ Data
The iswr Package
Title Introductory Statistics with R. Author Peter Dalgaard. Maintainer Peter Dalgaard <firstname.lastname@example.org>. Description Data sets and scripts for ...
cran.r-project.org/ web/ packages/ ISwR/ ISwR.pdf
LING 521: Corpus Phonetics
Learning Python, 2nd ed., 2003, David Ascher and Mark Lutz, O'Reilly. (recommended) Introductory Statistics with R, 2002, Peter Dalgaard, Springer. ...
www.ling.upenn.edu/ courses/ ling521/
Ecology 145—R References
Introductory statistics with R. Sringer-Verlag, New York. Everitt, Brian S. 2005. An R and S-Plus Companion to Multivariate Analysis. ...
www.unc.edu/ courses/ 2006spring/ ecol/ 145/ 001/ docs/ rref.html
Buchkritik.at - Peter Dalgaard - Introductory Statistics with R
Der englische Titel "Introductory Statistics with R" legt natürlich nahe, dass es sich um eine Einführung handelt, was das Buch tatsächlich ist. ...
R help archive: [R] Re : Book recommendation for newbie to stat
Using R for Introductory Statistics, John Verzani, published by Chapman & Hall, 2005, and Introductory Statistics with R, by Peter Dalgaard (a frequent ...
tolstoy.newcastle.edu.au/ R/ e2/ help/ 06/ 10/ 3051.html
Computer Exercise 1 (R)
Introductory Statistics with R, before starting the actual exercises. This will only take a few minutes,. and helps you get into R (working through chapter ...
www.zoologi.su.se/ research/ Lindenfors/ statistics/ Exercise1R.pdf