Description
This insightful guide provides an introduction to the open-source programming language R, tailored specifically for applications in biostatistics. Thomas W. MacFarland and Jan M. Yates skillfully navigate the complexities of data analysis, guiding readers through the use of R for real-world biostatistical problems. With a focus on practical implementation, they emphasize how R can enhance statistical computations, streamline data manipulation, and facilitate effective visualization of results.
Readers will find a wealth of examples and case studies that illuminate the powerful capabilities of R in the field of biostatistics. The authors ensure that both beginners and those with a background in statistics can easily grasp the concepts presented. Each section builds on the previous one, fostering a deeper understanding of how to leverage R's strengths for analyzing biological data, making this book an essential resource for students, researchers, and practitioners seeking to advance their skills in biostatistical analysis.
Readers will find a wealth of examples and case studies that illuminate the powerful capabilities of R in the field of biostatistics. The authors ensure that both beginners and those with a background in statistics can easily grasp the concepts presented. Each section builds on the previous one, fostering a deeper understanding of how to leverage R's strengths for analyzing biological data, making this book an essential resource for students, researchers, and practitioners seeking to advance their skills in biostatistical analysis.
Book Details
Format
Kindle
Pages
937 pages
Language
English
Published
Jan 1, 2021
Publisher
Springer
Edition
1st ed. 2021
Editions
3 editions
ISBN-10
3030624048
ISBN-13
9783030624040