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knitr: A Comprehensive Tool for Reproducible Research in R
Abstract
Reproducibility is the ultimate standard by which scientific findings are judged. From the computer science perspective, reproducible research is often related to literate programming [ 13 ], a paradigm conceived by Donald Knuth, and the basic idea is to combine computer code and software 4 documentation in the same document; the code and documentation can be identified by different special markers. We can either compile the code and mix the results with documentation or extract the source code from the document. To some extent, this implies reproducibility because everything is generated automatically from computer code, and the code can reflect all the details about computing.
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Citations
Cited by
Extensive Heterogeneity and Intrinsic Variation in Spatial Genome Organization
Finn, E. H., Pegoraro, G., Brandão, H. B., Valton, A.-L., Oomen, M. E., Dekker, J., Mirny, L., & Misteli, T. (2019) · Cell · doi:10.1016/j.cell.2019.01.020 · Cited by 459
Child-Directed Speech Is Infrequent in a Forager-Farmer Population: A Time Allocation Study
Cristia, A., Dupoux, E., Gurven, M., & Stieglitz, J. (2019) · Child Development · doi:10.1111/cdev.12974 · Cited by 284
Reproducible and replicable pain research: a critical review
Lee, H., Lamb, S. E., Bagg, M. K., Toomey, E., Cashin, A. G., & Moseley, G. L. (2018) · Pain · doi:10.1097/j.pain.0000000000001254 · Cited by 150
Metadata
- Authors
- Xie, Y.
- Venue
- Implementing Reproducible Research
- Publisher
- Chapman and Hall/CRC
- Published
- 2018-12-14
- Pages
- 3-31
- OpenAlex
- W2924537978
- Cited by
- 218
- References
- 0
- FWCI
- 162.22
- Type
- book chapter
- Language
- en
- Open access
- closed
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How to cite
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- CoChat. (2026). Citation check: knitr: A Comprehensive Tool for Reproducible Research in R. https://app.cochat.ai/papers/10.1201/9781315373461-1
- The paper
- Xie, Y. (2018). knitr: A Comprehensive Tool for Reproducible Research in R. Implementing Reproducible Research. https://doi.org/10.1201/9781315373461-1
Data sources
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.
