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Welcome to the visR wiki!
By using a common package for visualising data analysis results in the clinical development process, we want to have a positive influence on
- choice of visualisation by making it easy explore different visualisation and to use impactful visualisations fit-for-purpose
- effective visual communication by making it easy to implement best practices
We are not judging on what visualisation you chose for your research question, but want facilitate to make you do your work as you need it!
You can read more about the philosophy of Graphical Principles and Package-Architecture page for details on the architecture.
Material of past presentations including that of R/Pharma 2020 can be found on the Presentations page.
The main focus of the package is on visualisations (figures and tables) commonly needed in exploratory analyses encountered when working with Clinical Study as well as Real World data.
- Start with 3-4 plots as prototype for package functions
- Kaplan-Meier
- Attrition flow chart
- Basic types: Scatterplot, Lineplot, Stacked Barchart
- Advanced types: Forest Plot (and Funnel Plot)
- Tables: default 1-2 commonly used tables (Table 1, data summaries)
- Decide and implement standard color palettes (e.g., matching corporate design colors)
- Hierarchical
- Ordinal
- Standard elements of meaningful defaults and required info for legends, titles, and footnotes
- Minimal information about method, sample size etc. as part of plot
- Extended legend as extra text html
- Implement as required parameters for plotting functions (to escape, user has to explicitly put NA/Null)
The visR project is a open source package jointly developed by volunteers in several pharma-/biotech companies. Everyone with an interest in adding to this package is very welcome to do so. Please visit the Contribution page for further Details.
visR welcomes all kinds of contributions, be it bug reports, feature requests, and fully fledged pull requests for new features. Please visit the Contribute page in the Wiki