Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include tools that are critical to dealing with missing data, which is a pressing scientific issue for those engaged in biostatistics. Readers will be equipped to run analyses and make graphical presentations based on the sample dataset and their own data. The hands-on approach will benefit students and ensure the accessibility of this book for readers with a basic understanding of R.
Topics include: an introduction to Biostatistics and R, data...
Through real-world datasets, this book shows the reader how to work with material in biostatistics using the open source software R. These include ...
This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional researchers on how R is used for nonparametric data analysis in the biological sciences:
To introduce when nonparametric approaches to data analysis are appropriate
To introduce the leading nonparametric tests commonly used in biostatistics and how R is used to generate appropriate statistics for each test
To introduce common figures typically associated with nonparametric data analysis and how R is...
This book contains a rich set of tools for nonparametric analyses, and the purpose of this text is to provide guidance to students and professional...
