https://github.com/insightsengineering/cards

CDISC Analysis Results Data
https://github.com/insightsengineering/cards

analysis cdisc dataset r

Last synced: 10 days ago
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CDISC Analysis Results Data

• Host: GitHub
• URL: https://github.com/insightsengineering/cards
• Owner: insightsengineering
• Created: 2023-07-19T16:55:15.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-03-28T16:40:01.000Z (17 days ago)
• Last Synced: 2025-03-28T17:43:08.792Z (17 days ago)
• Topics: analysis, cdisc, dataset, r
• Language: R
• Homepage: https://insightsengineering.github.io/cards/
• Size: 41 MB
• Stars: 40
• Watchers: 10
• Forks: 3
• Open Issues: 16
• Metadata Files:
  • Readme: README.Rmd
  • Changelog: NEWS.md
  • Contributing: .github/CONTRIBUTING.md

Awesome Lists containing this project

• top-pharma50 - **insightsengineering/cards** - 06-03 15:23:42 | (Ranked by starred repositories)
• jimsghstars - insightsengineering/cards - CDISC Analysis Results Data (R)

README

        
---

output: github_document

---

```{r, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "100%"

)

```

# cards 

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

[![Codecov test coverage](https://codecov.io/gh/insightsengineering/cards/graph/badge.svg)](https://app.codecov.io/gh/insightsengineering/cards)

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

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

The [CDISC Analysis Results Standard](https://www.cdisc.org/standards/foundational/analysis-results-standard) aims to facilitate automation, reproducibility, reusability, and traceability of analysis results data (ARD).

The {cards} package creates these **C**DISC **A**nalysis **R**esult **D**ata **S**ets.

Use cases:

1. Quality Control (QC) of existing tables and figures.

1. Pre-calculate statistics to be summarized in tables and figures.

1. Medical writers may easily access statistics and place in reports without copying and pasting from reports.

1. Provides a consistent format for results and lends results to be combined across studies for re-use and re-analysis.

## Installation

Install cards from CRAN with:

```r

install.packages("cards")

```

You can install the development version of cards from [GitHub](https://github.com/) with:

``` r

# install.packages("devtools")

devtools::install_github("insightsengineering/cards")

```

## Extensions

[![cardx website](https://raw.githubusercontent.com/insightsengineering/cardx/main/man/figures/logo.png){style="float: right" width="120"}](https://insightsengineering.github.io/cardx/)

The {cards} package exports three types of functions:

1.  Functions to create basic ARD objects.

2.  Utilities to create new ARD objects.

3.  Functions to work with existing ARD objects.

The [{cardx}](https://github.com/insightsengineering/cardx/) R package is an extension to {cards} that uses the utilities from {cards} and exports functions for creating additional ARD objects–--including functions to summarize t-tests, Wilcoxon Rank-Sum tests, regression models, and more.

## Getting Started

Review the [Getting Started](https://insightsengineering.github.io/cards//main/articles/getting-started.html) page for examples using ARDs to calculate statistics to later include in tables.

```{r}

library(cards)

ard_continuous(ADSL, by = "ARM", variables = "AGE")

```