Visualizations with statistical details: The 'ggstatsplot' approach 论文

2021The Journal of Open Source Software引用 1459顶会
Data Visualization and AnalyticsData Analysis with RData Mining Algorithms and Applications

详细信息

发表期刊/会议
The Journal of Open Source Software
发表日期
2021-05-25
发表年份
2021

关键词

Data Visualization and AnalyticsData Analysis with RData Mining Algorithms and Applications

摘要

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.

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