The R Primer / Edition 1

by Claus Thorn Ekstrom

Overview

An ideal introduction for readers from all disciplines, this book provides examples and solutions (including code) to technical problems that are commonly encountered by beginners and intermediate users of the R statistical programming package. Unlike most existing texts, this one is not meant to teach statistics; rather, it shows readers how they can perform various tasks using the R program. The author explores problems with importing data, transforming data, making statistical analyses, creating graphics for scientific publications, and installing R packages.

Product Details

ISBN-13:	9781439862063
Publisher:	Taylor & Francis
Publication date:	08/29/2011
Edition description:	Older Edition
Pages:	300
Product dimensions:	5.50(w) x 8.40(h) x 0.70(d)

About the Author

Claus Thorn Ekstrøm is an associate professor of statistics in the Department of Basic Sciences and Environment and leader of the Center for Applied Bioinformatics at the University of Copenhagen. His research interests include genetic marker error detection, simulation-based inference, image analysis, and the analysis of microarray DNA chips, metabolic profiles, and quantitative traits for complex human families.

Table of Contents

Importing Data

Reading spreadsheets

Reading data from other statistical software programs

Manipulating Data

Working with data frames

Factors

Transforming variables

Statistical Analyses

Descriptive statistics

Linear models

Generalized linear model

Methods for analysis of repeated measurements

Specific methods

Multivariate methods

Computerintensive methods

Graphics

Graphical Functions

R

Installing R packages

Finding information

Working directory

Reproducible research

Editorial Reviews

"This is an extremely well-written book that thoroughly covers the subject and offers a significant number of examples that are explained very clearly. It will certainly be a beneficial resource for all R users. This reviewer teaches an online course in statistics using R, and believes that this text will serve as a very effective reference."
~R. Bharath, Northern Michigan University

"This book is intended for readerswho are familiarwith statistics and already have some basic knowledge in R. It provides a collection of more than 170 examples or problems and solutions in an R-context, derived from questions the author encountered in the statistical consultancy service of the University of Copenhagen. The problems concern data import and data management, statistical analysis and graphical presentation. Each problem or example is stated in one sentence. The solution is self-contained and provides an R code that can be run by the reader so that the results can be replicated; related problems can then be dealt with by adapting the R code for the needs at hand. Alternative solutions are also indicated at the end of most entries."
~Peter Hackl, Stat Papers

From the Publisher