- Published
- 2021-05-25
- Venue
- The Journal of Open Source Software, vol. 6, no. 61, pp. 3167
- Cited by
- 1,500
- Open access
- Yes, diamond
- DOI
- 10.21105/joss.03167
Abstract
Graphical displays can reveal problems in a statistical model that might not be apparent from purely numerical summaries.Such visualizations can also be helpful for the reader to evaluate the validity of a model if it is reported in a scholarly publication or report.But, given the onerous costs involved, researchers often avoid preparing information-rich graphics and exploring several statistical approaches or tests available.The ggstatsplot package in the R programming language (R Core Team, 2021) provides a one-line syntax to enrich ggplot2based visualizations with the results from statistical analysis embedded in the visualization itself.In doing so, the package helps researchers adopt a rigorous, reliable, and robust data exploratory and reporting workflow.
Cite this paper
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- APA 7
Patil, I. (2021). Visualizations with statistical details: The 'ggstatsplot' approach. The Journal of Open Source Software, 6(61), 3167. https://doi.org/10.21105/joss.03167
- MLA 9
Patil, Indrajeet. "Visualizations with statistical details: The 'ggstatsplot' approach." The Journal of Open Source Software, vol. 6, no. 61, 2021, pp. 3167, https://doi.org/10.21105/joss.03167.
- Chicago
Patil, Indrajeet. "Visualizations with statistical details: The 'ggstatsplot' approach." The Journal of Open Source Software 6, no. 61 (2021): 3167. https://doi.org/10.21105/joss.03167.
- GOST
Patil I. Visualizations with statistical details: The 'ggstatsplot' approach // The Journal of Open Source Software. — 2021. — Vol. 6, № 61. — P. 3167. — URL: https://doi.org/10.21105/joss.03167
- BibTeX
@article{patil2021visualizations, title = {{Visualizations with statistical details: The 'ggstatsplot' approach}}, author = {Indrajeet Patil}, journal = {The Journal of Open Source Software}, year = {2021}, volume = {6}, number = {61}, pages = {3167}, doi = {10.21105/joss.03167}, url = {https://doi.org/10.21105/joss.03167} }- RIS
TY - JOUR AU - Patil, Indrajeet TI - Visualizations with statistical details: The 'ggstatsplot' approach JO - The Journal of Open Source Software VL - 6 IS - 61 SP - 3167 PY - 2021 DA - 2021/05/25 DO - 10.21105/joss.03167 UR - https://doi.org/10.21105/joss.03167 ER -