Open Access
Literate Statistical Practice
A. J. Rossini,Friedrich Leisch +1 more
- 01 Jan 2003
TL;DR: 2 dierent approaches for LSP are discussed, one currently implemented using Emacs with Noweb and Emacs Speaks Statistics (ESS) and the other developed based on eXtensible Markup Language (XML) tools.
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Abstract: Literate Statistical Practice (LSP) is an method for statistical practice which suggests that documentation and specication occur at the same time as statistical coding. It applies literate programming Knuth (1992) to the practice of statistics. We discuss 2 dierent approaches for LSP, one currently implemented using Emacs with Noweb and Emacs Speaks Statistics (ESS), and the other developed based on eXtensible Markup Language (XML) tools. The interference needed to change an individual's habits comes at a high cost, and good tools are critical for encouraging people to switch to a more literate style. We discuss why LSP can help, and suggest how ESS can ease the burden placed on the analyst.
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Bioconductor: open software development for computational biology and bioinformatics
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References
R: A Language for Data Analysis and Graphics
Ross Ihaka,Robert Gentleman +1 more
TL;DR: In this article, the authors discuss their experience designing and implementing a statistical computing language, which combines what they felt were useful features from two existing computer languages, and they feel that the new language provides advantages in the areas of portability, computational efficiency, memory management, and scope.
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Reproducible Research: the Bottom Line
Jan de Leeuw
- 11 Mar 2001
TL;DR: Claerbout’s Principle is formulated, which is quite forcefully and recognizably motivated with problems in current research practice.
Survival Analysis in XLISP-Stat. A semiliterate program
TL;DR: This document contains program code and examples of survival analyses in XLISP-Stat, structured using the noweb (Ramsey,'93) literate programming system.
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Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis
Friedrich Leisch
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Literate programming simplified
TL;DR: The author argues that language-dependence and feature complexity have hampered acceptance ofLiterate programming tools, then offers a simpler alternative.
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