Reproducible Research with R and R Studio

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CRC Press, 2013. 7. 15. - 294페이지

Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data analysis, and the presentation of results.

With straightforward examples, the book takes you through a reproducible research workflow, showing you how to use:

  • R for dynamic data gathering and automated results presentation
  • knitr for combining statistical analysis and results into one document
  • LaTeX for creating PDF articles and slide shows, and Markdown and HTML for presenting results on the web
  • Cloud storage and versioning services that can store data, code, and presentation files; save previous versions of the files; and make the information widely available
  • Unix-like shell programs for compiling large projects and converting documents from one markup language to another
  • RStudio to tightly integrate reproducible research tools in one place

Whether you’re an advanced user or just getting started with tools such as R and LaTeX, this book saves you time searching for information and helps you successfully carry out computational research. It provides a practical reproducible research workflow that you can use to gather and analyze data as well as dynamically present results in print and on the web. Supplementary files used for the examples and a reproducible research project are available on the author’s website.

 

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Reproducible Research with R and R Studio
Christopher Gandrud
일부보기 - 2013

자주 나오는 단어 및 구문

analysis argument basic bibliography BibTeX changes Chapter chunk options citation code chunk columns commit compile create data file data frame data gathering data set default devtools difficult Dropbox dynamically environment example fertilizer consumption FertilizerConsumption Figure figures file called file path file’s final find findings first format Gandrud ggplot2 GitHub graphics hash header HTML5 install knit knitr knitr code chunks label LaTeX and Markdown LaTeX documents Let’s Linux literate programming Load look makefile Markdown documents Markdown file markup languages merge MoltenFert output package version Pandoc pane parent document plot presentation documents programs repo repository reproducible research RStudio RStudio Projects Section shell simply slideshow slidify source code files source_data specific statistical Stodden stored syntax text files Unix-like variable vector version control web scraping webpage Windows Windows PowerShell workfiow workspace xtable

저자 정보 (2013)

Christopher Gandrud is a research associate at the Hertie School of Governance. He was previously a lecturer of international relations at Yonsei University and a fellow in government at the London School of Economics (LSE). He has published articles on political economy and quantitative methods in the Review of International Political Economy and the International Political Science Review. He earned a PhD in political science from the LSE.

도서 문헌정보

제목Reproducible Research with R and R Studio
Chapman & Hall/CRC The R Series
저자Christopher Gandrud
에디션일러스트
발행인CRC Press, 2013
ISBN1466572841, 9781466572843
길이294페이지
  
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