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Sweave is a function in the statistical programming language R that enables integration of R code into LaTeX or LyX documents. It was introduced by Friedrich Leisch in 2002.[1] The purpose is "to create dynamic reports, which can be updated automatically if data or analysis change".[2]

The data analysis is performed at the moment of writing the report, or more exactly, at the moment of compiling the Sweave code with Sweave (i.e., essentially with R) and subsequently with LaTeX. This can facilitate the creation of up-to-date reports for the author.

Because the Sweave files together with any external R files that might be sourced from them and the data files contain all the information necessary to trace back all steps of the data analyses, Sweave also has the potential to make research more transparent and reproducible to others.[3] However, this is only the case to the extent that the author makes the data and the R and Sweave code available. If the author only publishes the resulting PDF document or printed versions thereof, a report created using Sweave is no more transparent or reproducible than the same report created with other statistical and text preparation software.

See also

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References

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  1. ^ Leisch, Friedrich (2002). "Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis". In Härdle, Wolfang; Rönz, Bernd (eds.). COMPSTAT 2002 - Proceedings in Computational Statistics. Heidelberg: Physica Verlag. pp. 575–580. doi:10.1007/978-3-642-57489-4_89.
  2. ^ Leisch, Friedrich (2002). "Sweave, Part I: Mixing R and LaTeX: A Short Introduction to the Sweave File Format and Corresponding R Functions" (PDF). R News. 2 (3): 28–31. Retrieved 22 January 2012.
  3. ^ Pineda-Krch, Mario (17 January 2011). "The Joy of Sweave – A Beginner's Guide to Reproducible Research with Sweave" (PDF). Retrieved 22 Jan 2012.
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  • Pweave (Python adaptation of Sweave)

📚 Artikel Terkait di Wikipedia

Literate programming

March 26, 2017. Leisch, Friedrich (2002). "Sweave, Part I: Mixing R and LaTeX: A short introduction to the Sweave file format and corresponding R functions"

R (programming language)

reporting features (using packages such as R Markdown, Quarto, knitr, and Sweave) and support for various statistical techniques (such as linear, generalized

Knitr

was inspired by Sweave and written with a different design for better modularization, so it is easier to maintain and extend. Sweave can be regarded as

Emacs Speaks Statistics

it facilitates the integration of data analysis and written text with Sweave. ESS is freely available for download from the ESS website, which also contains

Nishat Chunian

employees 7,331 (2024) Subsidiaries The Linen Company Nishat Chunian USA Inc. Sweave Inc. Nishat Chunian Properties Limited T L C Middle East Trading L.L.C Website

Friedrich Leisch

General of the R Foundation for Statistical Computing. He developed the Sweave system, integrating R with LaTeX to promote reproducible research. He co-organized

The R Journal

v t e R (programming language) Features Sweave Implementations Distributed R Microsoft R Open (Revolution R Open) Renjin Packages Bibliometrix easystats

Ash vs Evil Dead

#AshVsEvilDead. This is a make-up test. Sad". Twitter. Retrieved June 2, 2022. @Sweaving (June 8, 2016). "I really hate this" (Tweet) – via Twitter. Lesley Goldberg