Full of biological applications, exercises, and interactive graphical examples, Foundational and Applied Statistics for Biologists Using R presents comprehensive coverage of both modern analytical methods and statistical foundations. The author harnesses the inherent properties of the R environment to enable students to examine the code of complicated procedures step by step and thus better understand the process of obtaining analysis results. The graphical capabilities of R are used to provide interactive demonstrations of simple to complex statistical concepts.
Assuming only familiarity with algebra and general calculus, the text offers a flexible structure for both introductory and graduate-level biostatistics courses. The first seven chapters address fundamental topics in statistics, such as the philosophy of science, probability, estimation, hypothesis testing, sampling, and experimental design. The remaining four chapters focus on applications involving correlation, regression, ANOVA, and tabular analyses.
Unlike classic biometric texts, this book provides students with an understanding of the underlying statistics involved in the analysis of biological applications. In particular, it shows how a solid statistical foundation leads to the correct application of procedures, a clear understanding of analyses, and valid inferences concerning biological phenomena.
Web ResourceAn R package (asbio) developed by the author is available from CRAN. Accessible to those without prior command-line interface experience, this companion library contains hundreds of functions for statistical pedagogy and biological research. The author’s website also includes an overview of R for novices.
By:
Ken A. Aho
Imprint: Chapman & Hall/CRC
Country of Publication: United States
Dimensions:
Height: 254mm,
Width: 178mm,
Spine: 41mm
Weight: 1.224kg
ISBN: 9781439873380
ISBN 10: 1439873380
Pages: 618
Publication Date: 17 December 2013
Audience:
College/higher education
,
General/trade
,
Primary
,
ELT Advanced
Format: Hardback
Publisher's Status: Active
FOUNDATIONS: Philosophical and Historical Foundations. Introduction to Probability. Probability Density Functions. Parameters and Statistics. Interval Estimation: Sampling Distributions, Resampling Distributions, and Simulation Distributions. Hypothesis Testing. Sampling Design and Experimental Design. APPLICATIONS: Correlation. Regression. ANOVA. Tabular Analyses. Appendix. References. Index.
Reviews for Foundational and Applied Statistics for Biologists Using R
This is a terrific intermediate-level modern applied statistics text for biologists or anyone else who is interested in data analysis. ... a thorough job of introducing and detailing the main concepts, the methods, and the pleasures of modern data analysis. It is a visually pleasing book with good layouts, nice typefaces, and great tables and graphics and the R code to produce them! A great way for a class to really engage with R graphics. ... The author has put effort into making the book. A website and a companion R package, asbio, serve two audiences: introductory classes and more advanced classes. He has succeeded nicely in writing a dual-level book. ... I would strongly recommend the book for mature students ... I look forward to using it with my upper-level undergrads and the Masters and PhD students I continue to work with. -MAA Reviews, September 2014
