The boxly package creates interactive box plots for clinical trial analysis & reporting.

We assume ADaM datasets are ready for analysis and leverage metalite data structure to define inputs and outputs.

The general workflow is:

1. Use meta_boxly() or metalite package to construct input metadata from ADaM datasets. For example,.
2. Use prepare_boxly() to prepare datasets for interactive box plot.
3. Use boxly() to generate an interactive box plot.

Here is a quick example using an example dataset:

library("boxly")

meta_boxly(
  boxly_adsl,
  boxly_adlb,
  population_term = "apat",
  observation_term = "wk12",
  observation_subset = AVISITN <= 12 & !is.na(CHG)
) |>
  prepare_boxly() |>
  boxly()

• Parameter selection: Drop-down menu to select parameter of interest.
• Interactivity: Display summary statistics and outlier information interactively.
• Listing: Provide detailed information in interactive listing.