W. John Braun, Duncan J. Murdoch

The only introduction you'll need to start programming in R, the open-source language that is free to download and lets you adapt the source code for your requirements.

List Price:
$50.00

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Case Studies in Small-Sample Statistics

A. R. Brazzale, A. C. Davison, N. Reid

This book illustrates by means of realistic examples and case studies how to use the new theory, and investigates how and when it makes a difference to the resulting inference. Supported by the hoa R-package bundle.

List Price:
$65.00

An Example-based Approach

John Maindonald, John Braun

Starting with an introduction to R, covering standard regression methods, then presenting more advanced topics, this book guides users through the practical and powerful tools that the R system provides. The emphasis is on hands-on analysis, graphical display and interpretation of data. Supported by the DAAG, DAAGbio, and DAAGxtras R-libraries.

List Price:
$80.00

Andrew Gelman, Jennifer Hill

A comprehensive manual for the applied researcher who wants to perform data analysis using linear and nonlinear regression and multilevel models. The book introduces a wide variety of models, while at the same time instructing the reader in how to fit these models using available software packages. Supported by the arm R- package.

List Price:
$39.99

A Practical Introduction to Statistics using R

Harald Baayen

Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using R, the leading computational statistics program.

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$38.99

Piet de Jong, Gillian Z. Heller

Practical and rigorous, this books introduces GLMs in the actuarial context. All techniques are illustrated on data sets relevant to insurance. Exercises and data-based practicals let readers consolidate skills.

List Price:
$70.00