Open Science with R

A comprehensive range of topics is covered in this book enabling researchers to benefit from open data so that their own research data is easily accessible permitting others the ability to replicate their work. R is already one of the most widely used statistical tools in the research community making it an ideal platform to implement open science practices. The book offers scientists skills, such as sharing one's own data, and knowledge of best practices to fully embrace open science.

List of contents

Introduction. Reproducible Research. Consuming Data. Internet Databases. Developing Packages for Web Data. Sharing Data. Sharing Data. Dynamic Documents. Open Science Workflows. Open Science Communities. The rOpenSci Package Suite. Building Communities.

Summary

A comprehensive range of topics is covered in this book enabling researchers to benefit from open data so that their own research data is easily accessible permitting others the ability to replicate their work. R is already one of the most widely used statistical tools in the research community making it an ideal platform to implement open science practices. The book offers scientists skills, such as sharing one’s own data, and knowledge of best practices to fully embrace open science.

Product details

• Authors: Carl Boettiger, Scott Chamberlain, Edmund Hart, Karthik Ram
• Publisher: Taylor and Francis
• Languages: English
• Product format: Hardback
• Release: 01.05.2023, delayed
• EAN: 9781482244861
• ISBN: 978-1-4822-4486-1
• No. of pages: 350
• Illustrations: Farb., s/w. Abb.
• Series: Chapman & Hall/CRC The R Series; Chapman & Hall/CRC The R Series
• Subject: Natural sciences, medicine, IT, technology > Biology