BeersProjectiveMapping: 7 (fictitious) assessors sort and verbally describe 7 Beers...

BeersProjectiveMappingR Documentation

7 (fictitious) assessors sort and verbally describe 7 Beers using Projective Mapping.


BeersProjectiveMapping: 7 (fictitious) assessors evaluated 7 Beers using Projective Mapping (with verbal description).




a list with 3 elements: 1) ProjectiveMapping: a matrix of dimensions 7 beers by 7*2 assessors-dimensions of the coordinates of the beers on the sheet of paper; 2) Vocabulary: a Beers (rows) by Assessors (columns) data.frame where each element of Vocabulary stores the words used by one assessor to describe a beer (words are separated with spaces); and 3) CT.vocabulary a matrix storing the I Products by N words (from the Vocabulary) contingency table, in CT.vocabulary the number at the intersection of a row (beer) and a column (word) is the number of assessors who used this word to describe that beer.


First, Each assessor positioned the 7 beers on a sheet of paper according to the perceived similarity between the beers. For each assessor, the position of the beers was recorded from the X and Y coordinates. Second, the assessors were asked if they could describe each beer with some freely chosen descriptors. These descriptors are stored in a dataframe with 7 elements (one per assessor) where each element of the dataframe is a 7 component vector (one per beer) where each element stores the words used to describe a beer (words are separated with spaces).


Hervé Abdi


Abdi, H, & Valentin, D. (2007).


Abdi, H., & Valentin, D., (2007). Some new and easy ways to describe, compare, and evaluate products and assessors. In D., Valentin, D.Z. Nguyen, L. Pelletier (Eds) New trends in sensory evaluation of food and non-food products. Ho Chi Minh (Vietnam): Vietnam National University & Ho Chi Minh City Publishing House. pp. 5-18.

DistatisR documentation built on Dec. 5, 2022, 9:05 a.m.