Biostatistical Design and Analysis Using R: A Practical Guide

Dr Murray Logan

ISBN 10: 1405190086 / ISBN 13: 9781405190084

Published by John Wiley and Sons Ltd, 2010

About this Item

2010. 1st Edition. Paperback. First book specifically aimed at biologists/ecologists thatexplains how the new freeware statistical package R can be applied to their problems. This software package is becoming increasingly popular as it ispowerful and free. Num Pages: 576 pages, black & white tables, figures. BIC Classification: PSAF. Category: (P) Professional & Vocational. Dimension: 247 x 172 x 33. Weight in Grams: 1002. . . . . . Books ship from the US and Ireland.

Seller Inventory # V9781405190084

Bibliographic Details

• Title: Biostatistical Design and Analysis Using R: A Practical Guide
• Publisher: John Wiley and Sons Ltd
• Publication Date: 2010
• Language: English
• ISBN 10: 1405190086
• ISBN 13: 9781405190084
• Binding: Soft cover
• Condition: New

About this title

Synopsis

R ― the statistical and graphical environment is rapidly emerging as an important set of teaching and research tools for biologists. This book draws upon the popularity and free availability of R to couple the theory and practice of biostatistics into a single treatment, so as to provide a textbook for biologists learning statistics, R, or both. An abridged description of biostatistical principles and analysis sequence keys are combined together with worked examples of the practical use of R into a complete practical guide to designing and analyzing real biological research.

Topics covered include:

• simple hypothesis testing, graphing
• exploratory data analysis and graphical summaries
• regression (linear, multi and non-linear)
• simple and complex ANOVA and ANCOVA designs (including nested, factorial, blocking, spit-plot and repeated measures)
• frequency analysis and generalized linear models.

Linear mixed effects modeling is also incorporated extensively throughout as an alternative to traditional modeling techniques.

The book is accompanied by a companion website www.wiley.com/go/logan/r with an extensive set of resources comprising all R scripts and data sets used in the book, additional worked examples, the biology package, and other instructional materials and links.

About the Author

Murray Logan is a lecturer and researcher in the School of Biological Sciences, Monash University, Melbourne, Australia. He teaches a range of zoological and ecological courses in addition to biostatistical and R courses to undergraduate and graduate students. He also provides research design and analysis advice to a range of university, government and private organizations.