R Statistical Software Training
R Project Training Course
Date: 13th/14th June 2013
Venue: IACT – International Academy of Computer Training, 32 Upper Fitzwilliam Street Dublin 2.
Background to R
R is an extraordinary resource for statistics and data analysis, maintained and supported by a wide range of researchers worldwide. R’s package system, simultaneously its greatest strength and most dangerous weakness, will be covered in sufficient depth so that participants will be able to exploit the strengths while avoiding the weaknesses. R is a language with its own grammar, vocabulary, phrases, and literature. Like any language, it can be extremely powerful for you once you have mastered a few fundamentals. Attend the course and join the R community!
The first day will be an introduction to R Project course and the second day an intermediate/advanced R Project course. You are welcome to attend one or both days, depending on your requirements and R experience. Attendees are required to be computer literate, mathematically able, ideally with some statistical knowledge and some experience of data analysis. Venue: IACT – International Academy of Computer Training, 32 Upper Fitzwilliam Street Dublin 2
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Day 1: Introduction to R Course |
Day 2: Intermediate/advanced R Course
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Introduction to R R as a language Working with data in R Basic statistics in R Distributions Testing Modelling Graphics in R Graphics for exploratory data analysis Standard graphic displays The R environment R in the cloud |
Re-cap/summary of introductory course/day 1 Statistical analysis with R Linear models Generalised linear models Advanced statistical modelling with R Density estimation Survival analysis Classification Clustering Introduction to Writing R Packages |
Hands on sessions
The training course will take place in a computer laboratory, but please feel free to bring your own laptop with R loaded* so that you can gain experience with R on your own computer. Hands on sessions will be in groups to encourage interactive learning. You are welcome to bring your own datasets for analysis. *Loading R: see http://cran.r-project.org/
Price:
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Day 1 Introductory course |
Day 2 Intermediate / advanced course |
Both days (€50 discount) |
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Classification |
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Academic staff rate |
€250 |
€300 |
€500 |
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Business rate |
€350 |
€400 |
€700 |
Student Rates: On application
Course team (Cathal and Louis will be presenting the above course):
Professor Cathal Walsh is a Senior Lecturer in Statistics at TCD with primary interest in Bayesian methods and Biostatistics (and a Senior Statistician at Insight Statistical Consulting). He has used R extensively in research and teaching for the past decade.
Dr. Louis Aslett is a Research Fellow at Trinity College Dublin working in the field of reliability theory. He is author of two R packages (PhaseType and ReliabilityTheory), and manages the Trinity statistics group compute cluster. He is also maintainer of RStudio server AMIs for easy and rapid deployment of R into the Amazon cloud service.
Professor Antony Unwin is Professor of Computer Oriented Statistics and Data Analysis at the University of Augsburg in Germany (and Director of Insight Statistical Consulting). Formerly he lectured at TCD. His group has developed packages for R, including JGR and iplots. He has used R extensively and organized seminars on R packages. He is coauthor of ‘Graphics of Large Data Sets’ and co-edited the ‘Handbook of Data Visualization’.
Please contact us if you have any further queries or would like to receive a registration sheet via email. Alternatively phone Anglea Moser @ 01 6612467.
