NHSE Midlands System Improvement

R training session materials for NHSE Midlands System Improvement team

This repository will include four main file content types:

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

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
1. The R scripts used to produce the R markdown and also the R scripts
1. The final PDF outputs as the report students will obtain at the end of this session.

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

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

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

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/

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

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