This repository holds the content for the NHS-R Community conference, 4th & 5th November 2019.
Plenary session and lightning talk material will be shared in the relevant folders, and workshop details are below.
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 | Name | Presenter | Link |
|---|---|---|---|
| 1 | R for Novices | Ozayr Mohammed & Andrew McCann | GitHub |
| 2 | R for Excel Users | Sean Manzi | GitLab |
| 3 | Simulation modelling of patient flow using routinely collected data, with r-simmer | Tom Lawton | GitHub |
| 4 | Natural Language Processing (NLP) with R | Steph Locke | See NLP_workshop folder |
| 5 | Explainable Machine Learning | Hannah Frick | GitHub |
| 6 | Introduction to ggplot2 | Rhian Davies | GitHub |
| Workshop | Name | Presenter | Link |
|---|---|---|---|
| 7 | Automation with R: creating the infrastructure | David Whiting | GitHub |
| 8 | A worked introduction to Population Segmentation and PHM analytics | Adrian Pratt & Richard Wood | GitHub |
| 9 | Introduction to Functional Programming | Thomas Jemmett & Andrew Jones | GitHub |
| 10 | Introduction to data wrangling | Emma Vestesson | GitHub |
| 11 | Regression Modelling in R | Chris Mainey | GitHub |
| 12 | Introduction to Shiny | Chris Beeley | GitHub |
| 13 | Introduction to RMarkdown | Matthew Francis | GitHub |
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/2Nnblc2 . This works from your web browser, and you do not need R and Rstudio installd 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.
Please commit you workshop material to a GitHub repository by
30/10/2019. This will allow us time to make sure your material is
available on RStudio cloud. Please email a link to your repository, and
a list of the required R packages, to
[email protected].
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_2019’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.