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Reshaping Data with the reshape Package
Open accessAbstract
This paper presents the reshape package for R, which provides a common framework for many types of data reshaping and aggregation. It uses a paradigm of 'melting' and 'casting', where the data are 'melted' into a form which distinguishes measured and identifying variables, and then 'cast' into a new shape, whether it be a data frame, list, or high dimensional array. The paper includes an introduction to the conceptual framework, practical advice for melting and casting, and a case study.
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Citations
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Wild Mouse Gut Microbiota Promotes Host Fitness and Improves Disease Resistance
Rosshart, S. P., Vassallo, B. G., Angeletti, D., Hutchinson, D. S., Morgan, A. P., Takeda, K., Hickman, H. D., McCulloch, J. A., Badger, J. H., Ajami, N. J., et al. (2017) · Cell · doi:10.1016/j.cell.2017.09.016 · Cited by 862
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Metadata
- Authors
- Wickham, H.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2007
- Volume
- 21
- Issue
- 12
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W2128599926
- Cited by
- 2,880
- References
- 0
- FWCI
- 8.27
- Type
- journal article
- Language
- en
- Open access
- diamond
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- Wickham, H. (2007). Reshaping Data with the reshape Package. Journal of Statistical Software. https://doi.org/10.18637/jss.v021.i12
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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.
