The Analysis of Sensory and Consumer Data
Technical University of Denmark,
September 9 – September 13, 2013
the ability of analysing human perception data. Some of the newest
statistical methodologies will be covered using the open source
software R, among others the packages sensR, ordinal and lmerTest will
be used together with the PanelCheck software.
A student who has met the objectives of the course will be able to:
All lectures will be given in English.
Per Bruun Brockhoff, B324, R220, (+45) 2044 1711,
Rune H.B. Christensen, B324, R220, email@example.com
We begin Monday morning at 9am and finish Friday at 3pm.
in more detail
Day 1, Monday: Simple discimination using R (package sensR)
We present the R-package sensR as a tool for the planning and analysis of sensory discrimination and similarity experiments. The sensR package includes easily accessible tools for handling the five basic sensory test protocols: duo-trio, triangle, 2-AFC, 3-AFC, tetrad test. For all of these sensR provides:
Tuesday: Multivariate Analysis using
Day 3, Wednesday: Mixed models using PanelCheck AND R. (Package lmerTest and other R-routines)
Day 4, Thursday: Advanced discrimination using R
(packages sensR and ordinal)
Day 5, Friday: More on replicated (discrimination/similarity) data analysis.
Professor Per Bruun Brockhoff
Post doc Rune H.B.
PhD Student Alexandra Kuznetsova
DTU Compute, Technical University of Denmark
Research Scientist, PhD Oliver Tomic, Nofima Mat, Ås, Norway
The course is designed for Ph.D.
Statistics/Data analysis with interest in human perception data
Ph.D. students within non-statistical areas such as sensory science, food science, marketing etc. with interest in data
analysis and statistics.
Study Material, by Teaching Days:
Evaluation and Diplomas
To pass the full 2.5 ECTS
participation in all
activities is required INCLUDING the submission and
approval of a report subsequent to the course period. Grades: Pass/Fail. ECTS points: 2.5
Email Camilla Lund Poulsen, DTU
Compute, Technical University of
Denmark, Building 324, DK-2800 Kgs.Lyngby, Denmark.
Registration feeFor PhD (and potential master) students: No fee. For others: 400 Euro for the whole course and 100 Euro for single
Accommodation in hostels/hotels is to be arranged (and covered) by the participants themselves.
See the Visit Copenhagen website at http://www.visitcopenhagen.dk/.
Updated pre-course information
VENUE and course start:
Monday 9. September, Room S12, Building 101, DTU Lyngby
All the teaching will take place in this room, which is a part of
the DTU meeting center in the main university building - called
We begin teaching activities at 9am, but invite you to register and
enjoy some breakfast between 8am and 9am.
As is clear that apart from Tuesday (using PanelCheck Software) we will
use R in the course. We will introduce R as a start Monday, but we
recommend that you (try to) install the newest version of R AND Rstudio
on your laptop (so please bring one - we do NOT supply computers for
participants and they ARE indeed necessary) before you come -
please see the following short intro (with relevant links) to get started:
If you want to watch a few very short videos on how to get started with
R then you can go to this Youtube Playlist:
(A number of short videos illustrating the use of R - shown within a Mac version,
but apart from the appearance of the sub-windows exactly the same works for RStudio
in any operating system)
Individual Project Part of SummerSchool:
To complete ("pass") the 2.5ECTS course 02930 you must at the end of (or shortly after)
the course submit a brief report or presentation of some data analysis using methods/tools from the course on your own data.
So please prepare to bring some data for the course. On the Friday afternoon we have scheduled 90 minutes of participants (brief) presentations of this. This individual (OR group based, if relevant) project activity is planned to take
place in parallel with the organized program, in the following way:
Monday/Tuesday: All participants will have a one-to-one meeting with one of teachers of the course: Per Bruun Brockhoff, Rune H.B. Christensen, Alexandra Kuznetsova or Christine Linander. In this meeting the participant will present the data (and background) to the "expert" with the aim to identify a suitable mini-project for the course.
Wednesday/Thursday: Participants work a little on their mini-project in parallel with other activity (under supervision by course teachers)
Friday: 5-8 minutes presentations in plenum by participants.
After course: submit brief report or presentation