Conference_2020
NHS-R Community Conference Workshops 2020 
This repository holds the content for the NHS-R Community conference, November 2020.
Plenary session and lightning talk material will be shared in the relevant folders, and workshop details are below.
Workshops
The conference programme includes several workshop session. Please make sure you are aware of the session you are attending and have the considered how you will access the material (see below). Workshops will begin promptly and presenters will assume you can access the relevant material.
Workshop sessions
| Workshop | Name | Presenter | Link | Video |
|---|---|---|---|---|
| 1 | An introduction to Public Health England’s packages; fingertipsR and fingertipscharts | Sebastian Fox | GitHub | YouTube |
| 2 | Introduction to R | Zoë Turner | GitHub | YouTube: Part1, Part2, Part3 |
| 3 | Introduction to ggplot2 | Rhian Davies | GitHub | YouTube |
| 4 | Regression modelling | Chris Mainey | GitHub | YouTube |
| 5 | Great tables | Rich Iannone | GitHub | YouTube |
| 6 | R for Excel users | Sean Manzi | GitHub | YouTube |
| 7 | Text analysis | Duncan Leng | GitHub | YouTube |
| 8 | Introduction to changepoint analysis with R | Rebecca Killick | GitHub | YouTube |
| 9 | Further changepoint analysis techniques | Rebecca Killick | GitHub | YouTube |
| 10 | Interactive reports | Simon Wellesley-Miller | GitHub | YouTube |
| 11 | Xaringan slides | Silvia Canelon | GitHub | YouTube: Part1, Part2 |
| 12 | Tour of tidyverse | Max Krongborg | GitLab | YouTube |
| 13 | Introduction to R Markdown | Matthew Francis | GitHub | YouTube |
| 14 | Deep learning | Leon Eyrich Jessen | GitHub | - |
| 15 | Introduction to Shiny | Chris Beeley | GitHub | YouTube: Part1, Part2, Part3 |
For workshop attendees:
There are two ways to access the workshops:
-
Using the RStudio Cloud Workspace (Our prefered option): All material is available in the conference workspace: https://bit.ly/3mfJM4k . This works from your web browser, and you do not need R and Rstudio installed on your machine to access it.
-
Using your own machine: You can download zip files of each workshop, or if you are familiar with Git and GitHub, you can clone the repository. Follow the links in the table above to the relevant workshops.
If you are unsure about your setup, or unable to access the material on your own machine, please use the RStudio Cloud method.
To download and use this material on you machine, please use these steps:
-
Make sure you have
Rand RStudio installed.
-
Identify the sessions you are attending from the list above, and follow the link to the relevant repository.
-
Click the ‘Clone or Download’ button and select ‘Download zip file’:
-
Once the file has downloaded, unzip it, and open the ‘.Rproj’ file.
For workshop leaders:
If you are using healthcare related datasets as examples, please
consider adding them to the NHSRdatasets package. The data can then be
reused by other to learn R or when running training. You can find the
package at: https://github.com/nhs-r-community/NHSRdatasets
Please note that the ‘Conference_2020’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.