Visualizations with statistical details: The 'ggstatsplot' approach

作者：Indrajeet Patil · 发表于：The Journal of Open Source Software · 年份：2021 · DOI：10.21105/joss.03167 · 被引用次数：1529 · 研究领域：Data Visualization and Analytics、Data Analysis with R、Data Mining Algorithms and Applications

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.