{"id":20690221,"url":"https://github.com/merck/boxly","last_synced_at":"2025-04-22T16:55:43.099Z","repository":{"id":166120069,"uuid":"639992661","full_name":"Merck/boxly","owner":"Merck","description":"Interactive box plot for clinical trial analysis","archived":false,"fork":false,"pushed_at":"2024-05-17T04:18:15.000Z","size":7671,"stargazers_count":12,"open_issues_count":5,"forks_count":1,"subscribers_count":6,"default_branch":"main","last_synced_at":"2025-04-18T20:31:51.356Z","etag":null,"topics":[],"latest_commit_sha":null,"homepage":"https://merck.github.io/boxly/","language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/Merck.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE.md","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null}},"created_at":"2023-05-12T17:53:20.000Z","updated_at":"2025-03-22T10:17:25.000Z","dependencies_parsed_at":"2024-05-16T15:02:05.515Z","dependency_job_id":null,"html_url":"https://github.com/Merck/boxly","commit_stats":null,"previous_names":[],"tags_count":2,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Merck%2Fboxly","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Merck%2Fboxly/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Merck%2Fboxly/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/Merck%2Fboxly/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/Merck","download_url":"https://codeload.github.com/Merck/boxly/tar.gz/refs/heads/main","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250284108,"owners_count":21405288,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":[],"created_at":"2024-11-16T23:12:17.735Z","updated_at":"2025-04-22T16:55:43.076Z","avatar_url":"https://github.com/Merck.png","language":"R","readme":"# boxly \u003cimg src=\"man/figures/logo.png\" align=\"right\" width=\"120\" /\u003e\n\n\u003c!-- badges: start --\u003e\n[![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)\n[![Codecov test coverage](https://codecov.io/gh/Merck/boxly/branch/main/graph/badge.svg)](https://app.codecov.io/gh/Merck/boxly?branch=main)\n[![CRAN status](https://www.r-pkg.org/badges/version/boxly)](https://cran.r-project.org/package=boxly)\n[![CRAN Downloads](https://cranlogs.r-pkg.org/badges/boxly)](https://cran.r-project.org/package=boxly)\n\u003c!-- badges: end --\u003e\n\n## Installation\n\nThe easiest way to get boxly is to install from CRAN:\n\n```r\ninstall.packages(\"boxly\")\n```\n\nAlternatively, to use a new feature or get a bug fix,\nyou can install the development version of boxly from GitHub:\n\n```r\n# install.packages(\"remotes\")\nremotes::install_github(\"Merck/boxly\")\n```\n\n## Overview\n\nThe boxly package creates interactive box plots for clinical trial analysis \u0026 reporting.\n\n\u003cvideo src=\"https://user-images.githubusercontent.com/85646030/242961824-13439ec6-afa8-43c2-8257-22b1de3d80a0.mp4\" data-canonical-src=\"https://user-images.githubusercontent.com/85646030/242961824-13439ec6-afa8-43c2-8257-22b1de3d80a0.mp4\" controls=\"controls\" muted=\"muted\" class=\"d-block rounded-bottom-2 width-fit\" style=\"max-height:640px;max-width:66%\"\u003e\n\n\u003c/video\u003e\n\nWe assume ADaM datasets are ready for analysis and\nleverage [metalite](https://merck.github.io/metalite/) data structure to define\ninputs and outputs.\n\n## Workflow\n\nThe general workflow is:\n\n1. Use `meta_boxly()` or metalite package to construct input metadata from ADaM datasets.\n   For example,.\n1. Use `prepare_boxly()` to prepare datasets for interactive box plot.\n1. Use `boxly()` to generate an interactive box plot.\n\nHere is a quick example using an example dataset:\n\n```r\nlibrary(\"boxly\")\n\nmeta_boxly(\n  boxly_adsl,\n  boxly_adlb,\n  population_term = \"apat\",\n  observation_term = \"wk12\",\n  observation_subset = AVISITN \u003c= 12 \u0026 !is.na(CHG)\n) |\u003e\n  prepare_boxly() |\u003e\n  boxly()\n```\n\n## Highlighted features\n\n- Parameter selection: Drop-down menu to select parameter of interest.\n- Interactivity: Display summary statistics and outlier information interactively.\n- Listing: Provide detailed information in interactive listing.\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmerck%2Fboxly","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fmerck%2Fboxly","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fmerck%2Fboxly/lists"}