Introduction to R with applications to Network Analysis
Dr Eoin McElroy
26/08/2021 - 27/08/2021
View in Google Maps (BT521SA)
Dr Orla McBride
The first day of the course will introduce attendees to the basic functions of R, assuming no prior programming knowledge or experience. Particular attention will be paid to introducing participants to a wide range of data exploration and visualisation techniques. Attendees will also gain experience of conducting a range of common statistical techniques used in the behavioural and social sciences (e.g. descriptive and inferential statistics, correlational analysis). Comparisons between the functionality of R and other standard data analysis software packages (e.g. SPSS) will be made. Participants will be shown how to install R packages for additional functionality.
Day 2 advances on the first day by focusing on using R to conduct network analysis, a statistical procedure that is used to visualise and study complex relationships between variables. Participants will be introduced to the fundamental concepts in network analysis and will be taught how to use specific R packages (e.g. qgraph) to explore and analyse network data, as well as learning how to visualize networks.
This course uses lectures to provide a clear understanding of the logic underlying the use of statistical techniques and procedures; however, a greater amount of time will be devoted to giving participants experience of hands-on use of R.
Student: £220 (more than one course £198)
Educational/charitable sector: £330 (more than one course £297)
Government/commercial sector: £400 (more than one course £360)
A 10% discount will be given where the booking is for more than one short course.
Attendance: 9:30am-4:30pm daily
Intermediate (some prior knowledge)
Student discount available. Multiple course booking available
Website and registration
Quantitative Data Handling and Data Analysis, Latent class analysis, Latent profile analysis, network analysis
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