6533b7dcfe1ef96bd1271fce

RESEARCH PRODUCT

Grapes: a method and a SAS program for graphical representations of assessor performances

Pascal Schlich

subject

0303 health sciences030309 nutrition & dieteticsComputer sciencebusiness.industry[SDV]Life Sciences [q-bio]Computer aidTEST DE CONSOMMATION04 agricultural and veterinary sciencescomputer.software_genre040401 food scienceSensory analysisSensory Systems[SDV] Life Sciences [q-bio]03 medical and health sciences0404 agricultural biotechnologyOutlierProfiling (information science)Data miningArtificial intelligenceGraphicsbusinesscomputerComputingMilieux_MISCELLANEOUSFood Science

description

GRAPES computes individual and global analyses of variance for sensory profiling data, consisting of several sessions in which all the panelists gave scores to all the products for a number of attributes. The fitted model takes into account the session effect. GRAPES summarizes the results by means of graphical assessor scatterplots which allow to check and to compare panelist performances, such as the way of using scale, the reliability, the discrimination power and the agreement with the panel. In addition, GRAPES detects the outliers for each of these criterion. The usefulness of GRAPES for the panel leader will be demonstrated using texture and flavor profiling of 4 restructured steaks by 12 assessors for 15 attributes. The SAS® program GRAPES, available by e-mail from the author, requires the SAS/BASE®, SAS/STAT®, SAS/GRAPH® and SAS/IML® softwares.

yearjournalcountryeditionlanguage
1994-06-01
https://hal.inrae.fr/hal-02708639