preprocess_JAR {ClustBlock}

Preprocessing for Just About Right Data

Description

For JAR data, this preprocessing is needed.

Usage

preprocess_JAR(Data,  nprod, nsub, levelsJAR=3, beta=0.1)

Arguments

Data

data frame where the first column is the Assessors, the second is the products and all other columns the JAR attributes with numbers (1 to 3 or 1 to 5, see levelsJAR)

nprod

integer. Number of products.

nsub

integer. Number of subjects.

levelsJAR

integer. 3 or 5 levels. If 5, the data will be transformed in 3 levels.

beta

numerical. Parameter for agreement between JAR and other answers. Between 0 and 0.5.

Value

A list with:

• Datafinal: the Data transformed

• NameSub: the name of each subject in the right order

References

Llobell, F., Vigneau, E. & Qannari, E. M. (September 14, 2022). Multivariate data analysis and clustering of subjects in a Just about right task. Eurosense, Turku, Finland.

See Also

catatis_jar, cluscata_jar, cluscata_kmeans_jar

Examples

data(cheese)
prepro=preprocess_JAR(cheese, nprod=8, nsub=72, levelsJAR=5)