BeersProjectiveMapping {DistatisR}R Documentation

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

Description

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

Usage

data("BeersProjectiveMapping")

Format

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 II Products by NN 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.

Details

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 XX and YY 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).

Author(s)

Hervé Abdi

Source

Abdi, H, & Valentin, D. (2007). https://personal.utdallas.edu/~herve/

References

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.


[Package DistatisR version 1.1.1 Index]