Visualizations with statistical details: The 'ggstatsplot' approach

By Indrajeet Patil. Journal of Open Source Software, 2021

1,277 citations recorded by the source corpus.

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 validity of a model if the said analysis 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 R programming language provides a one-line syntax to create densely informative `ggplot2`-based 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.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Information Systems

View Paper: https://www.semanticscholar.org/paper/3a2dcd8e7a710c21d7978c3c108f49de1c5e4504