BeersProjectiveMapping: 7 (fictitious) assessors sort and verbally describe 7 Beers...
In DistatisR: DiSTATIS Three Way Metric Multidimensional Scaling
BeersProjectiveMapping 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 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.
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 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).
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.
DistatisR documentation built on Dec. 5, 2022, 9:05 a.m.
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| BeersProjectiveMapping | 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 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.
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 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).
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.
R Package Documentation
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We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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