This repository holds code training course.
Note: Only public or fake data are shared in this repository.
- The main code is found in the root of the repository (see Usage below for more information)
[R Studio](RStudio Team (2020). RStudio: Integrated Development for R. RStudio, PBC, Boston, MA URL http://www.rstudio.com/.)
[R Statistical Software]( R Core Team (2018). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. URL https://www.R-project.org/.)
library(tidyverse) library(janitor) library(zoo) library(NHSRplotthedots) library(NHSRdatasets)
To get a local copy up and running follow these simple steps.
To clone the repo:
Script is all self contained and pulls data from the library NHSRdatasets
No outputs are produced beyond consol results
Psuedo data from the library NHSRdatasets
Additional sections around Tables and Charts to be considered. Not sure if script along is best method or if more traditional slide method could be used. Would consider converting to quarto slides.
Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature) - Commit your Changes (
git commit -m 'Add some AmazingFeature') - Push to the Branch (
git push origin feature/AmazingFeature) - Open a Pull Request
See CONTRIBUTING.md for detailed guidance.
Unless stated otherwise, the codebase is released under the MIT Licence. This covers both the codebase and any sample code in the documentation.
See LICENSE for more information.
The documentation is © Crown copyright and available under the terms of the Open Government 3.0 licence.
Simon Wellesley-Miller
To find out more get in touch at Simon.Wellesley-Miller.