Biostatistics with R: An Introduction to Statistics Through Biological Data Babak Shahbaba
Publisher: Springer

Biostatistics with R: An Introduction to Statistics Through Biological Data. If you've got a vector of numbers such different input/output data types. This text The text introduces fundamental concepts at a level anyone can understand, and then leads the reader to progressively more complex but practical applications using mostly real data from biology and medicine. Australian statistical bioinformatician Neal F.W. Saunders has a nice brief introduction to apply in R in a blog post if you'd like to find out more and see some examples. Introduction to probability and statistics. United Kingdom : Brooks/Cole Cengage Learning, c2013. While R does have for, while and repeat loops, you'll more likely see operations applied to a data collection using apply() functions or by using the plyr() add-on package functions. All calculations, simulations, and plots were performed using the R statistical package [24]. Figure 9.4.5 (d) r squared – 1, it should be r squared – 0. Biostatistics with R : an introduction to statistics through biological data. Biostatistics is the science of obtaining, analyzing, and interpreting data using statistical theory and methods to address problems in the biological and health sciences. The major objective of this book is to provide a thorough, yet engaging introduction to statistics for students and professors in the biological, life, and health sciences.