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 Resource
An 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.
General
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