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Purpose

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.

Installation

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.

Why is this useful?

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.

Citation

To cite iddoverse in publications, see CITATION

Issues

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.

Contact

Please contact Rhys Peploe ( or ) if you would like to know more, need support or are interested in contributing to the package.