To create analysis ready datasets ('analysis datasets') for researchers using data stored in the Infectious Diseases Data Observatory (IDDO) respoitory.
These reusable functions aim to provide a toolbox for researchers to modify the analysis dataset to their study-specific needs, speeding up the time it takes to create analysable data.
You can install the development version of iddoverse from
GitHub with the following code in the R console:
# if you have not previously installed 'devtools' on your machine
# install.packages("devtools")
devtools::install_github("Infectious-Diseases-Data-Observatory/iddoverse")
library(iddoverse)We recommend re-installing regularly as the package is developing constantly. Versions starting with ‘0.’ should be expected to change without notification.
The package assists researchers to transform their datasets (transferred from IDDO), minimising the time spent on data transformation before analysis can begin. These functions specifically work on SDTM (Study Data Tabulation Model) data stored by IDDO.
Functions are documented and provide examples. A vignette provides a demostration/tutorial of the functions and data in the package.
To cite iddoverse in publications, see
CITATION
Improvements to the code are constantly being made, if you notice errors, bugs, want to suggest improvements or have ideas for better functionality, please describe them in Issues.
Please contact Rhys Peploe (rhys.peploe@iddo.org or rhyspeploe1998@gmail.com) if you would like to know more, need support or are interested in contributing to the package.