The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Letter-Value Plots: Boxplots for Large Data
Abstract
Boxplots are useful displays that convey rough information about the distribution of a variable. Boxplots were designed to be drawn by hand and work best for small datasets, where detailed estimates of tail behavior beyond the quartiles may not be trustworthy. Larger datasets afford more precise estimates of tail behavior, but boxplots do not take advantage of this precision, instead presenting large numbers of extreme, though not unexpected, observations. Letter-value plots address this problem by including more detailed information about the tails using “letter values,” an order statistic defined by Tukey. Boxplots display the first two letter values (the median and quartiles); letter-value plots display further letter values so far as they are reliable estimates of their corresponding quantiles. We illustrate letter-value plots with real data that demonstrate their usefulness for large datasets. All graphics are created using the R package lvplot, and code and data are available in the supplementary materials.
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Cites
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Cited by
Whole-brain annotation and multi-connectome cell typing of Drosophila
Schlegel, P., Yin, Y., Bates, A. S., Dorkenwald, S., Eichler, K., Brooks, P., Han, D. S., Gkantia, M., dos Santos, M., Munnelly, E. J., et al. (2024) · Nature · doi:10.1038/s41586-024-07686-5 · Cited by 413
“Enhanced box plots—also called letter-value plots 125 —in Fig.”
Background
Metadata
- Authors
- Hofmann, H., Wickham, H., & Kafadar, K.
- Venue
- Journal of Computational and Graphical Statistics
- Publisher
- Informa UK Limited
- Published
- 2017-07-03
- Volume
- 26
- Issue
- 3
- Pages
- 469-477
- ISSN
- 1061-8600 (ISSN-L)
- 1537-2715
- OpenAlex
- W2182214061
- Cited by
- 257
- References
- 17
- FWCI
- 7.19
- Type
- journal article
- Language
- en
- Open access
- closed
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