Intro to R and RStudio
Summary of the course
Based on the hugely popular Introduction to R and R Studio course run by NHS-R Community volunteers, the one day course has been extended into 3 half days and covers the principles of data manipulation.
No previous knowledge of R is expected.
The concepts covered in the course, and even some function names, will be familiar to those who use SQL and this course is aimed at those who have not used R/RStudio before or used only very little of it (perhaps running other people’s work for example).
As we work through the course we will be using and exploring Quarto to see how reports that mix text and code can be produced in R as well as be used as a way of managing analysis workflow.
Learning outcomes:
- To introduce RStudio as an IDE (integrated development environment)
- Introduce familiar concepts of data manipulation but using R
- Practice these concepts and bring them together in a Quarto report
I would highly recommend this training to anyone that wants to learn R Studio, the course exceeded my expectations and I just need to put what I have learnt from the course it into practice now.
I thoroughly enjoyed the session which now means I can start to do some R analysis.
I enjoyed working through the example questions in the second session, I find doing tasks myself is the best way for me to learn and consolidate knowledge
Detailed Programme
Session 1: Introduction and getting started
- Course agenda and aims
- Introducing and getting started with RStudio
- Introducing what packages are in R
- Projects
- Opening Quarto
Session 2: Data Manipulation
- Import a csv
- Import a messy csv
- Import a csv from the web
- {dplyr} data wrangling with a selection of main functions
- {dplyr} showcase more functions
- Creating new objects
- Introducing vectors
- Joining data together
- How to style your R code
Session 3: Categorical Variables
- Finding help on functions using RStudio and the internet
- Ongoing learning resources
- Introducing chart visualisations using {ggplot2}
- Using {datapasta}
- Using {janitor} to remove blank rows/columns and tidy column names
- Using {stringr} for cleaning with strings (for example % wildcard searches)
Pre-requisites:
The course will be run through Posit Cloud but if you would like to use your own computer please ensure that you have the latest R and R Studio installed. No previous knowledge of R is expected.
Trainers:
Your training will be led by:
Zoë Turner, Senior Data Scientist, The Strategy Unit.
Audience:
Data Analysts, and anyone interested in learning about R, in Integrated Care Systems in the Midlands
This course is free and available to all those working in health and care in the Midlands e.g. NHS, public health, local authority, ICBs, ICSs etc
Duration and start date
3 half days (9.30 am -1.00 pm)
Location
Online
The NHS-R Community run monthly webinars and workshops, including Intro to R and RStudio – visit https://nhsrcommunity.com
For more information about this course, please contact the Training & Development Operational Lead, Rachel Caswell (rachel.caswell@nhs.net)