Description:Praise for previous Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way... Advanced undergraduate students in mathematics, statistics, and similar fields as well as students just beginning their graduate studies would benefit the most from reading this book. Many more experienced R users or second-year graduate students might find themselves thinking, 'I wish I'd read this book at the start of my studies, when I was first learning R!'...This book could be used as the main text for a class on reproducible research ... (The American Statistician) Reproducible Research with R and R Studio, Third Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow. This practical workflow enables you to gather and analyze data as well as dynamically present results in print and on the web. Supplementary materials and example are available on the author's website. New to the Third EditionUpdated package recommendations, examples, URLs, and removed technologies no longer in regular use.More advanced R Markdown (and less LaTeX) in discussions of markup languages and examples.Stronger focus on reproducible working directory tools.Updated discussion of cloud storage services and persistent reproducible material citation.Added discussion of Jupyter notebooks and reproducible practices in industry.Examples of data manipulation with Tidyverse tibbles (in addition to standard data frames) and pivot_longer() and pivot_wider() functions for pivoting data. FeaturesIncorporates the most important advances that have been developed since the editions were publishedDescribes a complete reproducible research workflow, from data gathering to the presentation of resultsShows how to automatically generate tables and figures using RIncludes instructions on formatting a presentation document via markup languagesDiscusses cloud storage and versioning services, particularly GithubExplains how to use Unix-like shell programs for working with large research projectsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Reproducible Research with R and RStudio (Chapman & Hall/CRC The R Series). To get started finding Reproducible Research with R and RStudio (Chapman & Hall/CRC The R Series), you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.
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PDF, EPUB & Kindle Edition
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ISBN
0429629591
Reproducible Research with R and RStudio (Chapman & Hall/CRC The R Series)
Description: Praise for previous Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way... Advanced undergraduate students in mathematics, statistics, and similar fields as well as students just beginning their graduate studies would benefit the most from reading this book. Many more experienced R users or second-year graduate students might find themselves thinking, 'I wish I'd read this book at the start of my studies, when I was first learning R!'...This book could be used as the main text for a class on reproducible research ... (The American Statistician) Reproducible Research with R and R Studio, Third Edition brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow. This practical workflow enables you to gather and analyze data as well as dynamically present results in print and on the web. Supplementary materials and example are available on the author's website. New to the Third EditionUpdated package recommendations, examples, URLs, and removed technologies no longer in regular use.More advanced R Markdown (and less LaTeX) in discussions of markup languages and examples.Stronger focus on reproducible working directory tools.Updated discussion of cloud storage services and persistent reproducible material citation.Added discussion of Jupyter notebooks and reproducible practices in industry.Examples of data manipulation with Tidyverse tibbles (in addition to standard data frames) and pivot_longer() and pivot_wider() functions for pivoting data. FeaturesIncorporates the most important advances that have been developed since the editions were publishedDescribes a complete reproducible research workflow, from data gathering to the presentation of resultsShows how to automatically generate tables and figures using RIncludes instructions on formatting a presentation document via markup languagesDiscusses cloud storage and versioning services, particularly GithubExplains how to use Unix-like shell programs for working with large research projectsWe have made it easy for you to find a PDF Ebooks without any digging. And by having access to our ebooks online or by storing it on your computer, you have convenient answers with Reproducible Research with R and RStudio (Chapman & Hall/CRC The R Series). To get started finding Reproducible Research with R and RStudio (Chapman & Hall/CRC The R Series), you are right to find our website which has a comprehensive collection of manuals listed. Our library is the biggest of these that have literally hundreds of thousands of different products represented.