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
It’s worth noting that there exists a public
RStudio, offering similar functionality.
modules poses challenges. Consequently, we recommend the use of
qenv for teal-based applications.
For comprehensive insights, please refer to the
Important Note: The legacy approach to handling reproducibility,
chunks, has been deprecated. We strongly advocate
for the adoption of
qenv as its successor.