Introduction to R
Date: 27th February - 1st March 2019
Time: 09:00 – 17:30
Venue: Computer Room A & B, Main Building, Institute of Psychiatry, Psychology & Neurosciences (IoPPN), King's College London. View Map.
This course aims to provide a basic introduction to the R software. This will cover:
- Obtaining and installing R;
- Dealing with various data objects such as vector, matrix and data frame;
- Importing/exporting data from/to ASCII text, spread sheet (Excel) and other statistical software’s (e.g., Stata, SPSS);
- Some statistical analysis in R such as summary statistics, t-test, chi-squared test, linear regression, logistic regression, and;
- R graphics using ggplot2 for creating and storing graphics in R.
No prior knowledge of R is assumed, but some experience in any programming language would be useful. Familiarity with basic statistical concepts and linear regression analyses is required for the Penalised regression session.
Cost and Booking
- External £450
- KCL Staff £337.5
- KCL Student £225
- Other student £337.5
- King's Health Partners £337.5
That is, 50% discount to King's College London PhD students, 25% discount to other students and staff at King's College London and King's Health Partners.
Booking for this course has now closed.
Dr Cedric Ginestet (Academic Lead)
Dr Ewan Carr (Academic Lead)
Cedric has received a PhD in Biostatistics from Imperial College London.
Cedric has been affiliated to the Neuroimaging Department in King's College London, as well as to the Mathematics and Statistics Department in Boston University, before joining the Department of Biostatistics and Health Informatics in the Institute of Psychiatry and Neuroscience in 2014.
Causal inference; network analysis; object data analysis; statistical learning.
See Cedric's research portal here.
Ewan joined Biostatistics in 2017 as a BRC Statistician. He was previously employed within Epidemiology and Public Health at UCL. In 2014 he completed a PhD in Social Statistics (University of Manchester) and prior to this trained in Social Research Methods and Statistics (MSc, University of Manchester).
His is interested in the application of latent variable and multilevel modelling techniques to further the understanding of mental health outcomes.
See Ewan's research profile here.
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