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easyalluvial - Generate Alluvial Plots with a Single Line of Code

Alluvial plots are similar to sankey diagrams and visualise categorical data over multiple dimensions as flows. (Rosvall M, Bergstrom CT (2010) Mapping Change in Large Networks. PLoS ONE 5(1): e8694. <doi:10.1371/journal.pone.0008694> Their graphical grammar however is a bit more complex then that of a regular x/y plots. The 'ggalluvial' package made a great job of translating that grammar into 'ggplot2' syntax and gives you many options to tweak the appearance of an alluvial plot, however there still remains a multi-layered complexity that makes it difficult to use 'ggalluvial' for explorative data analysis. 'easyalluvial' provides a simple interface to this package that allows you to produce a decent alluvial plot from any dataframe in either long or wide format from a single line of code while also handling continuous data. It is meant to allow a quick visualisation of entire dataframes with a focus on different colouring options that can make alluvial plots a great tool for data exploration.

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6.27 score 116 stars 1 dependents 108 scripts 460 downloads

simaerep - Detect Clinical Trial Sites Over- or Under-Reporting Clinical Events

Monitoring reporting rates of subject-level clinical events (e.g. adverse events, protocol deviations) reported by clinical trial sites is an important aspect of risk-based quality monitoring strategy. Sites that are under-reporting or over-reporting events can be detected using bootstrap simulations during which patients are redistributed between sites. Site-specific distributions of event reporting rates are generated that are used to assign probabilities to the observed reporting rates. (Koneswarakantha 2024 <doi:10.1007/s43441-024-00631-8>).

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ae-reportingclinical-trials

5.39 score 27 stars 20 scripts 209 downloads

parcats - Interactive Parallel Categories Diagrams for 'easyalluvial'

Complex graphical representations of data are best explored using interactive elements. 'parcats' adds interactive graphing capabilities to the 'easyalluvial' package. The 'plotly.js' parallel categories diagrams offer a good framework for creating interactive flow graphs that allow manual drag and drop sorting of dimensions and categories, highlighting single flows and displaying mouse over information. The 'plotly.js' dependency is quite heavy and therefore is outsourced into a separate package.

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4.75 score 35 stars 32 scripts 607 downloads