https://github.com/merck/boxly

Interactive box plot for clinical trial analysis
https://github.com/merck/boxly

Last synced: about 1 year ago
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Interactive box plot for clinical trial analysis

• Host: GitHub
• URL: https://github.com/merck/boxly
• Owner: Merck
• License: gpl-3.0
• Created: 2023-05-12T17:53:20.000Z (almost 3 years ago)
• Default Branch: main
• Last Pushed: 2024-05-17T04:18:15.000Z (almost 2 years ago)
• Last Synced: 2025-04-18T20:31:51.356Z (about 1 year ago)
• Language: R
• Homepage: https://merck.github.io/boxly/
• Size: 7.32 MB
• Stars: 12
• Watchers: 6
• Forks: 1
• Open Issues: 5
• Metadata Files:
  • Readme: README.md
  • License: LICENSE.md

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README

          
# boxly 

[![R-CMD-check](https://github.com/Merck/boxly/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/Merck/boxly/actions/workflows/R-CMD-check.yaml)

[![Codecov test coverage](https://codecov.io/gh/Merck/boxly/branch/main/graph/badge.svg)](https://app.codecov.io/gh/Merck/boxly?branch=main)

[![CRAN status](https://www.r-pkg.org/badges/version/boxly)](https://cran.r-project.org/package=boxly)

[![CRAN Downloads](https://cranlogs.r-pkg.org/badges/boxly)](https://cran.r-project.org/package=boxly)

## Installation

The easiest way to get boxly is to install from CRAN:

```r

install.packages("boxly")

```

Alternatively, to use a new feature or get a bug fix,

you can install the development version of boxly from GitHub:

```r

# install.packages("remotes")

remotes::install_github("Merck/boxly")

```

## Overview

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

We assume ADaM datasets are ready for analysis and

leverage [metalite](https://merck.github.io/metalite/) data structure to define

inputs and outputs.

## Workflow

The general workflow is:

1. Use `meta_boxly()` or metalite package to construct input metadata from ADaM datasets.

   For example,.

1. Use `prepare_boxly()` to prepare datasets for interactive box plot.

1. Use `boxly()` to generate an interactive box plot.

Here is a quick example using an example dataset:

```r

library("boxly")

meta_boxly(

  boxly_adsl,

  boxly_adlb,

  population_term = "apat",

  observation_term = "wk12",

  observation_subset = AVISITN <= 12 & !is.na(CHG)

) |>

  prepare_boxly() |>

  boxly()

```

## Highlighted features

- 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.