From SPSS to R: How to Make Your Statistical Analysis Reproducible

From SPSS to R: How to Make Your Statistical Analysis Reproducible

 

In Person

The SPSS to R conversion course is designed to guide researchers through the steps of using R to conduct their statistical analyses. The course will be split over two sessions, so that we can focus on the basics of R and learn how to use it for analysis. The aim of this course is to provide you with the tools to create your own reproducible analysis workflow. No prior knowledge of R is required for this course, but we do expect at least a basic understanding of statistical analyses – such as t-tests, ANOVAS, and regression analyses. Throughout the course, we will also share resources on where and how to continue learning, along with highlighting some of useful packages for facilitating analysis.

The first session is dedicated to learning the basics of R. The session will cover how to download, run, and navigate R and RStudio. Additionally, we will cover simple data tidying, examples of various analyses, and work through interactive problem-solving tasks for knowledge consolidation.

The second session will build on our learning from the previous session. We will learn to use R to create a reproducible data analysis workflow. We will cover the steps from data tidying, to analysis, assumption testing, reporting, and data visualisation. The session will finish with a workflow problem solving task, and an opportunity for a Q+A.

This is an intermediate training. Some basic knowledge of statistics will be required to follow the content.

Those who have registered to take part will receive an email with full details on how to get ready for the course.

 

This course will be taught by Rhys Davies.

After taking part in this event, you may decide that you need some further help in applying what you have learnt to your research. If so, you can book a Data Surgery meeting with one of our training fellows.

More details about Data Surgeries.

If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event.

 

If you are interested in other training that will use R to conduct statistical analysis, have a look at the following:

 

Return to the Training Homepage to see other available events.

Digital Scholarship Centre

Digital Scholarship Centre, 6th floor

Main Library 

University of Edinburgh 

Edinburgh EH8 9LJ