Biostatistics with R is designed to mimic the interaction between theory and application in statistics. Most topics are motivated by real examples first, and after discussing a topic, the author shows how it can be applied to the problem that motivated it. Topics include data exploration, estimation, and clustering with two appendices on installing and running R and R-commander. This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools. The book is intended for a wide range of readers from people with relatively strong analytical background, who want to learn about statistics and its application in biology, to non-statistician scientists, who use statistical methods in their research.
Introduction.- Data Exploration.- Exploring Relationships.- Probability.- Random Variables and Probability Distribtions.- Estimation.- Hypothesis Testing.- Testing a Hypothesis on the Relatinoship Between Two Variables.- Analysis of Variance.- Analysis of Categorial Variables.- Regression Analysis.- Clustering.- Bayesian Analysis.