Prebuilt 'shiny' modules containing tools for viewing data, visualizing data, understanding missing and outlier values within your data and performing simple data analysis. This extends 'teal' framework that supports reproducible research and analysis.
This package contains a set of standard teal modules for you to include in applications.
These include modules for:
tm_variable_browser, tm_data_table, tm_file_viewer, ...)tm_g_scatterplot, tm_g_association, ...)tm_missing_data, tm_outliers, ...)tm_a_pca, tm_g_distribution, tm_a_regression, ...).These modules work with CDISC data, independent datasets and general relational data.
Please see teal gallery and TLG Catalog to see examples of teal apps with modules from this package.
install.packages('teal.modules.general')
Alternatively, you might want to use the development version.
# install.packages("pak")
pak::pak("insightsengineering/teal.modules.general")
To understand how to use this package, please refer to the Getting Started article, which provides multiple examples of code implementation.
You can try out the package without installing it in the Shinylive:
If you encounter a bug or have a feature request, please file an issue. For questions, discussions, and staying up to date, please use the teal channel in the pharmaverse slack workspace.
This package is a result of a joint efforts by many developers and stakeholders. We would like to thank everyone who contributed so far!