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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")) 

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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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.