repfun

R Reporting Functions Repository

This repository contains an R package of reporting functions that mimic (HARP) traditional macros for clinical reporting. The package can be used to generate Tables, Listings and Figures. See several examples in the Vignettes/Articles.

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How to Use This Package

1. Download and install the package from CRAN (see below), or using the zip file repfun_0.1.2.tar.gz (in "misc" branch), or via library remotes (see below).
2. Load the library in an R session.
3. Review the function documentation under References
   (https://gsk-biostatistics.github.io/repfun/reference/index.html).
4. Identify a use case that fits your needs from the Articles
   (https://gsk-biostatistics.github.io/repfun/articles/index.html).
5. Copy and modify the Vignette code for your study.

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General Information

• This package contains reporting functions that mimic (HARP) traditional reporting macros.
• View the function documentation at: https://gsk-biostatistics.github.io/repfun/reference/index.html
• Install the package using: Via CRAN: install.packages("repfun") library(remotes); install_github("GSK-Biostatistics/repfun") or install.packages('/your/path/repfun_0.1.2.tar.gz',repos=NULL,type='source') (see "misc" branch for latest tarball) or download the following zip file and install as above: https://github.com/GSK-Biostatistics/repfun/blob/misc/repfun_0.1.2.tar.gz
• Use the package by loading it: library(repfun)
• View use cases at: https://gsk-biostatistics.github.io/repfun/articles/
• View package documentation at: https://github.com/GSK-Biostatistics/repfun/blob/misc/repfun_0.1.2.pdf

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Built With

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Getting Started

Prerequisites

# Before using repfun, install the following R packages:
install.packages(c("tidyr","dplyr","ggplot2","magrittr","Hmisc","haven","stringr","admiral","lubridate","r2rtf")) 

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License

This project is released under the Apache-2.0 license.

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Contact

For any questions or comments about this project, please contact Yongwei Wang or Chris Rook.

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Acknowledgments

Acknowledgement to the following useful sources:

• Helpful Read-Me Template
• Img Shields
• GitHub Pages

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