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Reproducible Research With R And Rstudio Gandrud Christopher

  • SKU: BELL-232894296
Reproducible Research With R And Rstudio Gandrud Christopher
$ 31.00 $ 45.00 (-31%)

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Reproducible Research With R And Rstudio Gandrud Christopher instant download after payment.

Publisher: CRC Press LLC
File Extension: EPUB
File size: 1.68 MB
Author: Gandrud, Christopher;
Language: English
Year: 2020

Product desciption

Reproducible Research With R And Rstudio Gandrud Christopher by Gandrud, Christopher; instant download after payment.

Reproducible Research with R and RStudio, 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 examples are available on the author’s website. New to the Third Edition • Updated 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 Features • Incorporates the most important advances that have been developed since the editions were published • Describes a complete reproducible research workflow, from data gathering to the presentation of results • Shows how to automatically generate tables and figures using R • Includes instructions on formatting a presentation document via markup languages • Discusses cloud storage and versioning services, particularly Github • Explains how to use Unix-like shell programs for working with large research projects

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