Reproducibility stands as a pivotal feature within the realm of data analysis for several compelling reasons:
- It empowers users to recreate outputs effortlessly within a standard R console, independent of a reactive shiny app.
- It fosters transparency, elucidating the analytical process for both users and stakeholders.
In this context, the qenv object within the
teal.code package emerges as a pivotal tool, facilitating
the development of reproducible shiny/teal modules.
It’s worth noting that there exists a public shinymeta R
package by RStudio, offering similar functionality.
However, integrating shinymeta into teal
modules poses challenges. Consequently, we recommend the use of
qenv for teal-based applications.
For comprehensive insights, please refer to the qenv
vignette.
Important Note: The legacy approach to handling reproducibility,
known as chunks, has been deprecated. We strongly advocate
for the adoption of qenv as its successor.