NHSE Midlands System Improvement

R training session materials for NHSE Midlands System Improvement team

This repository will include four main file content types:

1. R scripts used by the NHSE Midlands System Improvement team to create reports in Markdown and Shiny
2. Repository of commmon adhoc functions created by the team to use on a daily basics
3. Analytical products developed by the team such as R Markdown reports and Shiny apps
4. R Team Learning materials

R Training /Session 01 - Introduction to R and R Studio - 22/03/2022

• The first session was about R and R Studio, an introduction to main menus and option in R Studio
• There are just two files produced for this first session: An Isoslides presentation and HTML file it generates
• The presentation slides can be run using R Studio
• It will open on any web browser

R Training /Session 02 - Loops in R - 27/04/2022

• This folder includes the whole set of materials to learn how to use loops
• 1. R project that we will use to start and setup the session
• 2. The R scripts used to produce the R markdown and also the R scripts
• 3. The final PDF outputs as the report students will obtain at the end of this session.

R Training /Session 03 - Relative paths - 25/05/2022

• Reference files by using top level directory of a file project to build file paths
• Build robust project oriented workflows using HERE package
• Use project-relative paths
• Basic code design principles for real-life apps running on production environments
• The aim of this session is to create robust R scripts

R Training /Session 04 - GGPLOT2 package - 01/06/2022

• GGPLOT2 is an open-source data visualization package for the statistial programming language R
• It is an implementation of Lenand Wilkinson's Grammar of Graphics - a general scheme for data visualization
• It breaks up graphs into semantic components such as sclaes and layers
• Users tell ggplot2 how to map variables to asesthetics, what graphical primitives to use and the theme required for the plot

R Training /Session 05 - LOOPS and DPLYR package - 26/07/2022

• We review the standard loops and functions structures in R combining them together
• Using them in tandem, we can produce automated PDF reports that can later on be sent out via email
• Dplyr is a grammar of data manipulation, providing a consistent set of verbs that help you solve the most common data manipulation challenges
• DPLYR is part of TIDYVERSE set of packages and combines very well with GGPLOT package that we reviewed in our previous session

R Training /Session 06 - Shiny dashboards - 24/08/2022

• Learn interactive web applications design principles in R

• Design a shiny app components UI, SERVER

• Create reactive elements between UI and SERVER components

• Build your shiny app based on Inputs and Outputs

• Learn how to clone a Github repo to download files to your local machine. To view file "01 Cloning a Github Repo from terminal.html" content, download and open it on your browser.

• [Gallery] https://shiny.rstudio.com/gallery

• [Shiny website] https://shiny.rstudio.com/

R Training /Session 07 - Shiny dashboards review - 20/09/2022

• Build Leaflet interactive maps into Shiny app
• Create function to download NHS indicators as zipped files from NHS websited (RTT,NHS111) using HTML tags
• Create static maps using GGPLOT2 package

R Training /Session 08- TIDYR package -

• This example shows how to replace missing values in a data set
• The package allows you to arrange your data in a structured way making it easier to work
• You have a consistent way of referring to variables (as column names) and observations (as row indices)
• When use tidy data and tidy tools, you spend less time worrying about how to feed the output from one function into the input of another
• It allows you to spend more time answering your questions about the data