Introductory Statistics with R

by Peter Dalgaard

R is an Open Source implementation of the S language. It works on multiple computing platforms and can be freely downloaded. R is now in widespread use 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. 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.In the second edition, the text and code have been updated to R version 2.6.2. The last two methodological chapters are new, as is a chapter on advanced data handling. The introductory chapter has been extended and reorganized as two chapters. Exercises have been revised and answers are now provided in an Appendix.

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

384 pages, Paperback

First published January 1, 2002

Reviews

[Jyotika Varmani · Rating 4 out of 5]

Though the book is very informative, I still found it to be at a difficulty level not suitable to the beginner. R is quite complicated anyway. The instructions to make use of it need to be put as simply as possible.

Nonetheless, the book is well organized, and detailed. A good textbook.

[Terran M · Rating 4 out of 5]

If you already understand the concepts of frequentist statistics, this book will clearly show you how to apply them using R, and get you from zero to a place where you can comfortably learn more from the online documentation. The book is clearly written and has copious examples; the explanations of the meaning of the output is often better than the library documentation. The chapter on manipulating data in R is particularly strong with both clear exposition and a good selection of what to cover to help statisticians become productive.

However, the explanation of the statistics is very brief and entirely unsuitable for novices. When I ran into a few things I was already not familiar with, the explanations were too condensed and I had to look them up elsewhere to understand. If you do not already know statistics well, reading this book will result only in frustration. For people who have no statistics background, I think I would recommend starting with Baclawski's "Introduction to Probability with R" or "OpenIntro Statistics" by Diez et al.

[Julia Colleen · Rating 4 out of 5]

This is by far the best 'how-to-use-"R"' book... ever!
I highly recommend going through all of the exercises in the book. The data comes with the basic "R" download in the 'ISwR' library.

[Oscar Pettersson]

Slutförd som = "not for me".
Boken är lärorik etc, men utgår från en bas-version av R.
En utan tidyverse - paketsamlingen som förser de universal go-to paketen för all form av statistisk analys och datamanipulering.
Hoppar till den istället (Y).

[Josh · Rating 4 out of 5]

Nicely set out with many examples. Main thing lacking the ability to solve symbolic problems - but that is a more reflection of the limitation of R than a reflection of the book.

[Bill · Rating 5 out of 5]

A gentle refresher.

[Mike · Rating 3 out of 5]

Nothin' but love for R.

[Yuta Tamberg · Rating 3 out of 5]

Not only a good starting point, but also pretty useful handbook