Next R-Project Training Course – May 24/25/26, 2017

Posted on: April 12th, 2017


R Training Course NEW DATES

24th, 25th & 26th of May, 2017

Venue:IPA, Institute of Public Administration, 57-61 Lansdowne Rd, Dublin 4


Day 1: Wednesday – Introduction to R Course
09.00-10.30 Introduction to R
11.00-12.30 Data manipulation with R
13.30-14.00 Q&A session
14.00-15.00 Basic statistics
15.30-17.00 Graphics in R

Day 2: Thursday – Advanced R Course
09.00-09.30 Re-cap/summary of introductory course day 1
09.30-11.00 Statistical Analysis and Modelling with R
11.30-12.30 Multivariate Models (Dimension reduction methods, Cluster Analysis)
13.30-14.00 Q&A session
14.00-15.00 Classification methods
15.30-17.00 Advanced Modelling in R

Day 3: Friday – New Developments in R
09.00-09.30 Re-cap/summary of intermediate/advanced course day 2
09.30-10.30 New data manipulation packages (tidyr, dplyr, and magritte)
11.00-12.30 Dynamic Document Creation (R Markdown, knitr)
13.30-14.00 Q&A session
14.00-15.00 Modern R Graphics (ggplot2, GGally, gridExtra, ggvis)
15.30-17.00 Database access and large datasets in R

Academic Rate (Full Time Lecturers and Students)

€ 300 Each Day

Business Rate

€ 400 Each Day

Background to R
R is an extraordinary resource for statistics and data analysis, maintained and supported by a wide range of researchers worldwide. 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.

The first day’s course introduces you to R, how to work with data in R, carry out basic analyses and draw graphics.
The second day covers statistical modelling in R and shows you how to take advantage of R’s more advanced features, especially R’s add-on packages, which give you access to an unlimited collection of models and algorithms.
The third day you can learn how R is changing and developing, becoming both easier to use and more powerful, with its new tools for data manipulation, reproducible research, graphics, and database connections.

All three days can be taken separately, or together. Depending on your requirements and R experience, we would recommend that users with some experience of R should take Day 2 and 3 together.

Attendees should be computer literate, mathematically able, and ideally have some knowledge of statistics and experience of working with data.

Attend the courses and join the R community!
These courses are organised by Insight Statistical Consulting and will be conducted by experienced R practitioners.

The Course Team:

Dr. Louis Aslett
completed his PhD in Mathematical Statistics from Trinity College Dublin in 2012. He is currently an Assistant Professor in the Department of Mathematical Sciences at Durham University. Before that he spent 4 years in a purely research role in Chris Holmes’ group at the University of Oxford and as Junior Research Fellow at Corpus Christi College. He works on statistical computation for complex likelihood based inference problems, as well as privacy preserving statistical methods. He is author of several R packages and is also the maintainer of freely available RStudio server AMIs for easy and rapid deployment of R into the Amazon cloud service

Prof. Antony Unwin
Director of Insight Statistical Consulting and Professor of Computer Oriented Statistics and Data Analysis at the University of Augsburg in Germany. Formerly he lectured at Trinity College Dublin. His group has developed packages for R, including extract and iplots. He has used R extensively and organized seminars on R packages. He is coauthor of ‘Graphics of Large Data Sets’, co-edited the ‘Handbook of Data Visualization’ and is author of the book “Graphical Data Analysis with R” (CRC Press the R Series).

Please contact us if you have any further queries or would like to receive a registration form via email.  Alternatively phone Angela Moser or Olivier Foubert @ 01 6612467.

Graphical Data Analysis with R – Antony Unwin

Posted on: September 10th, 2015


On May 20, 2015 Chapman and Hall/CRC published “Graphical Data Analysis with R” by Antony Unwin (ISBN 9781498715232) as part of The R Series.

Graphical data analysis means using graphics to discover and present information in datasets. This book discusses the role graphics play in analysis and how they can complement and support statistical modelling.

Graphical data analysis is useful for data cleaning, exploring data, identifying trends and clusters, spotting local patterns, evaluating modeling output, and presenting results. It is essential for exploratory data analysis and data mining. R’s flexibility and its range of visualization tools make it an excellent software for graphical analysis.

Prof. Antony Unwin – Antony is a Director of Insight Statistical Consulting and professor of computer-oriented statistics and data analysis at the University of Augsburg (formerly he lectured at Trinity College Dublin). He is a fellow of the American Statistical Society, co-author of Graphics of Large Datasets, and co-editor of the Handbook of Data Visualization. His research focuses on data visualisation, especially in interactive graphics. His research group has developed several pieces of interactive graphics software and written packages for R.

The Academic Profession in Ireland

Posted on: June 3rd, 2015

A new publication entitled “The Academic Profession in Ireland” was released in May 2015 with authors Marie Clarke, David Harmon, Jonathan Drennan, Abbey Hyde and Yurgos Politis.

This study examined the nature and extent of the changes experienced by the academic profession in Ireland in recent years. The report outlines current characteristics of the academic profession — those who teach and / or research — providing a profile of academics in Ireland. Three themes are investigated, the professional contexts of Irish academics, their teaching and research situations and their experiences of governance and management within their institutions.

A copy of the publication can be downloaded here.