Dina Research School

Workshop: The R system for computational data analysis

11:00: Arrival and accommodation
12:00: Lunch
13:00: Introduction and presentation of participants
Anders Ringgaard Kristensen, The Dina Research School
13:15: Theory session I: Fundamental concepts
Peter Sestoft
Variables, vectors, matrices, arithmetic operations, simple functions, logical expressions, subsetting with logical expressions
13.50: Computer exercises.
14:40: Theory session II: Data in R
Rasmus Waagepetersen
Lists, data frames, import/export, simple statistical analyses (e.g. descriptive statistics, linear regression), factors
15.10: Coffee break followed by computer exercises
16.10: Theory session III: Graphics in R
Rasmus Waagepetersen
plot, image/contour/persp, 3D plots, graphical parameters, inserting plots in documents
16.40: Computer exercises
17.30: Theory session IV: Numerical mathematics in R
Peter Sestoft
Optimization and integration
18:00: Dinner
19:00: Guest talk: Reaching out in the world - experience with a specialised R application in agricultural science
Christian Ritz, Statistics, Department of Natural Sciences, KVL
20.00: Computer exercises
21:45: Coffee and sandwich

7:45: Breakfast
8:30: Discussion of computer exercises
8.40: Theory session V: Programming in R
Peter Sestoft
Programming with functions, scope, object orientation
9:20: Computer exercises followed by coffee break
10:20: Theory VI: Loops versus vectorized computation, database access
Rasmus Waagepetersen and Peter Sestoft
Loops, vectorized computation, apply/sweep/sapply etc, interface to MySQL
11.00: Computer exercises
11:45: Discussion and closing
Anders Ringgaard Kristensen, The Dina Research School
12:00: Lunch and departure

Author: phd@dina.kvl.dk. Updated: 02 november 2006