DaVinci modules are provided as R packages, with each package containing one or multiple modules. Choose the modules freely according to the purpose of your visualization. For instance, while a heatmap may not be necessary for data cleaning, it could be useful for biomarker analyses. Safety review might benefit from an eDISH plot, and listings are likely to be needed in all use cases. These are only examples, modules can be combined as needed. Some modules even have the capability to interact with each other. For more details about how to actually create an app, refer to Getting Started. An overview of all modules can be found here.
- -The DaVinci framework consists of the following packages:
-| package | -description | -
|---|---|
| {dv.bookman} | -The Bookmark Manager module allows to safe app configurations and restore them at a later point in time from a centralized view. | -
| {dv.clinlines} | -The Clinical Timelines module offers an overview of pre-defined events and time intervals for all subjects over time. | -
| {dv.edish} | -The eDISH module supports the assessment of drug-induced liver injury by means of the (modified) evaluation of Drug-Induced Serious Hepatotoxicity plot. | -
| {dv.explorer.parameter} | -The {dv.explorer.parameter} package contains multiple modules offering statistical plots like the Boxplot module, Correlation Heatmap module, Forest Plot module, Lineplot module, ROC (receiver operating characteristics) module, Scatterplot module, Matrix of Scatterplots module, and the Waterfall Plus Heatmap module. | -
| {dv.filter} | -The {dv.filter} package enables dynamic data filtering. | -
| {dv.listings} | -The Listings module displays arbitrary datasets as listings. | -
| {dv.loader} | -The {dv.loader} package facilitates data loading from either a local or remote source. | -
| {dv.manager} | -The {dv.manager} package is designed to make it quick and easy to create and deploy Shiny applications containing DaVinci modules. | -
| {dv.papo} | -The Patient Profile module presents data on subject-level. | -
DaVinci modules are provided as R packages, with each package containing one or multiple modules. Choose the modules freely according to the purpose of your visualization. For instance, while a heatmap may not be necessary for data cleaning, it could be useful for biomarker analyses. Safety review might benefit from an eDISH plot, and listings are likely to be needed in all use cases. These are only examples, modules can be combined as needed. Some modules even have the capability to interact with each other.
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