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.
How to Use This Package
- 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).
- Load the library in an R session.
- Review the function documentation under References
(https://gsk-biostatistics.github.io/repfun/reference/index.html). - Identify a use case that fits your needs from the Articles
(https://gsk-biostatistics.github.io/repfun/articles/index.html). - Copy and modify the Vignette code for your study.
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
Getting Started
Prerequisites
# Before using repfun, install the following R packages:
install.packages(c("tidyr","dplyr","ggplot2","magrittr","Hmisc","haven","stringr","admiral","lubridate","r2rtf")) Contact
For any questions or comments about this project, please contact Yongwei Wang or Chris Rook.