Interactive box plots refers to the graphical representations that allow users to explore and analyze data through an interactive interface. They provide a way to visualize the distribution, central tendency, and variability of a dataset using a box-and-whisker plot, while also providing additional interactivity for deeper exploration.

Use boxly() to generate an interactive box plot. Here is a quick example using an example dataset: 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.

boxly_adeg 3 Value Interactive box plot. Examples # Only run this example in interactive R sessions if (interactive()) {library(metalite) meta_boxly(boxly_adsl, boxly_adlb, population_term = "apat", observation_term = "wk12") |> prepare_boxly() |> boxly()} boxly_adeg An example ADEG dataset Description

Interactive box plot using 'plotly' for clinical trial analysis. Please use the canonical form https://CRAN.R-project.org/package=boxly to link to this page.

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()

boxly is an R package that allows users to create interactive 3D scenes using the ‘three.js’ JavaScript library. It provides an R interface to ‘three.js’, making it easier for R users to create interactive 3D graphics. Description: Interactive box plot using 'plotly' for clinical trial analysis. How to install the boxly package?

An Introduction to the boxly Package. Please see https://merck.github.io/boxly/articles/ for the full documentation. Here is only a minimal example:

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