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Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis
Abstract
Sweave combines typesetting with L A T E X and data anlysis with S into integrated statistical documents. When run through R or Splus, all data analysis output (tables, graphs,…) is created on the fly and inserted into a final L A T E X document. Options control which parts of the original S code are shown to or hidden from the reader, respectively. Many S users are also L A T E X users, hence no new software has to be learned. The report can be automatically updated if data or analysis change, which allows for truly reproducible research.
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Cited by
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McMurdie, P. J., & Holmes, S. (2013) · PLoS ONE · doi:10.1371/journal.pone.0061217 · Cited by 21,322
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Boettiger, C. (2015) · ACM SIGOPS Operating Systems Review · doi:10.1145/2723872.2723882 · Cited by 1,059
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Sandve, G. K., Nekrutenko, A., Taylor, J., & Hovig, E. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003285 · Cited by 880
Best practices in data analysis and sharing in neuroimaging using MRI
Nichols, T. E., Das, S., Eickhoff, S. B., Evans, A. C., Glatard, T., Hanke, M., Kriegeskorte, N., Milham, M. P., Poldrack, R. A., Poline, J.-B., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4500 · Cited by 714
Metadata
- Authors
- Leisch, F.
- Venue
- Compstat
- Publisher
- Physica-Verlag HD
- Published
- 2002
- Pages
- 575-580
- OpenAlex
- W1520411860
- Cited by
- 422
- References
- 0
- FWCI
- 13.02
- Type
- book chapter
- Language
- en
- Open access
- closed
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- Leisch, F. (2002). Sweave: Dynamic Generation of Statistical Reports Using Literate Data Analysis. Compstat. https://doi.org/10.1007/978-3-642-57489-4_89
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
