• Discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools
• Topics are motivated by real examples
• Intended for a wide range of readers
  

Biostatistics with R is designed around the dynamic interplay among statistical methods, their applications in biology, and their implementation.  The book explains basic statistical concepts with a simple yet rigorous language.  The development of ideas is in the context of real applied problems, for which step-by-step instructions for using R and R-Commander are provided.  Topics include data exploration, estimation, hypothesis testing, linear regression analysis, and clustering with two appendices on installing and using R and R-Commander.  A novel feature of this book is an elementary introduction to the basic of Bayesian analysis.

This author discusses basic statistical analysis through a series of biological examples using R and R-Commander as computational tools.  The book is ideal for instructors of basic statistics for biologists and other health scientists.  The step-by-step application of statistical methods discussed in this book allows readers, who are interested in statistics and its application in biology, to use the book as a self-learning text.

目录

Contents1 Introduction ................................ 1
2 Data Exploration ............................. 17
3 Exploring Relationships ......................... 61
4 Probability ................................ 83
5 Random Variables and Probability Distributions ...........109
6 Estimation .................................151
7 Hypothesis Testing ............................173
8 Statistical Inference for the Relationship Between Two Variables . . 193
9 Analysis of Variance (ANOVA) .....................221
10 Analysis of Categorical Variables ....................235
11 Regression Analysis ...........................253
12 Clustering .................................291
13 Bayesian Analysis .............................303