The DOI matches its Crossref record.
ggplot2:Elegant Graphics for Data Analysis
Open accessAbstract
ggplot2: Elegant Graphics for Data Analysis is a new addition to the UseR! series by Springer, probably the fastest expanding source of resources for computational statistics at the current moment. The books in this series are all linked with R, either presenting a new package developed by the own authors of the book or describing how to applying statistical techniques with the different packages available in R. ggplot2 is an implementation in R of The Grammar of Graphics (Wilkinson 2005) a systematic approach to the specification of statistical graphics that was introduced in a book previously reviewed in the Journal of Statistical Software by Cox (2007). This implementation has been developed by Hadley Wickham, who is also the author of the book reviewed here.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Lombardo, P., Jones, W., Wang, L., Shen, X., & Goldner, E. M. (2018) · BMC Public Health · doi:10.1186/s12889-018-5235-x · Cited by 333
Maassen, O., Fritsch, S., Palm, J., Deffge, S., Kunze, J., Marx, G., Riedel, M., Schuppert, A., & Bickenbach, J. (2021) · Journal of Medical Internet Research · doi:10.2196/26646 · Cited by 125
Harp, N. R., Freeman, J. B., & Neta, M. (2022) · Journal of Experimental Psychology General · doi:10.1037/xge0001173 · Cited by 38
“, 2017), car (Fox & Weisberg, 2019), and ggplot2 (Wickham, 2016) packages.”
MethodKohl, J., Brame, J., Centner, C., Wurst, R., Fuchs, R., Sehlbrede, M., Tinsel, I., Maiwald, P., Fichtner, U. A., Armbruster, C., et al. (2023) · Journal of Medical Internet Research · doi:10.2196/43426 · Cited by 29
Márton, Z., Barta, B., Vad, C. F., Szabó, B., Hamer, A. J., Kardos, V., Laskai, C., Fierpasz, Á., & Horváth, Z. (2023) · doi:10.1101/2023.12.08.570789 · Cited by 22
“Statistical analysis To visualise the occurrence and the local frequency of animal taxa, we created barplots and pie charts using the “ggplot2” R package (Wickham, 2016).”
Metadata
- Authors
- Valero-Mora, P. M.
- Venue
- Journal of Statistical Software
- Publisher
- Foundation for Open Access Statistic
- Published
- 2010
- Volume
- 35
- Issue
- Book Review 1
- ISSN
- 1548-7660 (ISSN-L)
- OpenAlex
- W1722795217
- Cited by
- 303
- References
- 0
- Type
- book review
- Language
- en
- Open access
- diamond
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
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.