June 6-9, 2023
10am-3pm
Instructors: Andrzej Romaniuk, Shrey Bhardwaj
Helpers: Shrey Bhardwaj, Juan Rodriguez Herrera, Mario Antonioletti, Andrzej Romaniuk, Ben King, Maria Jimenez Ramos
Introduction to Statistics with R This workshop uses a public health dataset and examples (NHANES from the US National Center for Health Statistics) but the materials are relevant to researchers more generally in the life, health and social sciences.
The workshop assumes no prior experience of statistical analysis in R. However, learners are expected to have some familiarity with R such as having done an introductory course. If you do not have any experience currently, one of these Carpentries courses would prepare you:
Where: Digital Scholarship Centre, Main Library, 6th floor - 30 George Square, Edinburgh EH8 9LJ. Get directions with OpenStreetMap or Google Maps.
When: June 6-9, 2023. Add to your Google Calendar.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.
Contact: Please email serena.sias@ed.ac.uk , gina.pegu@ed.ac.uk or upskilling@.ed.ac.uk for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
The lesson taught in this workshop is being piloted and a precise schedule is yet to be established.
| Pre-workshop Setup | |
| Lessons | |
| Statistical thinking for public health | Estimating the mean, variance and standard deviation |
| Estimating the variation around the mean | |
| Visualising and quantifying linear associations | |
| Predicting means using linear associations | |
| Break | |
| Lunch | 12:00 - 13:00 |
| Lessons | |
| Simple linear regression for public health | An introduction to linear regression |
| Linear regression with one continuous explanatory variable | |
| Linear regression with a two-level factor explanatory variable | |
| Making predictions from a simple linear regression model | |
| Break | |
| Lunch | 12:00 - 13:00 |
| Lessons | |
| Simple linear regression for public health | Assessing simple linear regression model fit and assumptions |
| Linear regression with a multi-level factor explanatory variable | |
| Break | |
| Lunch | 12:00 - 13:00 |
| Lessons | |
| Multiple linear regression for public health | Linear regression with one continuous and one categorical explanatory variable |
| Linear regression including an interaction between one continuous and one categorical explanatory variable | |
| Break | |
| Lunch | 12:00 - 13:00 |
To participate in a workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.
We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.
Please check the “Setup” page of the lesson site for instructions to follow to obtain the software and data you will need to follow the lesson. Also, look at the top of each lesson for prerequisites to follow the lessons.