SensoMineR (version 1.27)

JAR: JAR

Description

Just About Right

Usage

JAR(x, col.p, col.j, col.pref, jarlevel="jar")

Value

Returns a list of 3 objects.

The penalty1 object corresponds to the one-dimensional penalty results: a data-frame with the penalty coefficient in the first column, the standard deviation and the p-value for the test that the penalty is significantly different from 0.

The penalty2 object corresponds to the mutli-dimensional penalty results: a data-frame with the penalty coefficient in the first column, the standard deviation and the p-value for the test that the penalty is significantly different from 0. The Frequency object gives the percentage of times the non-jar categories are given for each product: a matrix with the non-jar categories in rows and the products in columns

Arguments

x

data.frame

col.p

the position of the product variable

col.j

the position of the panelist variable

col.pref

the position of the preference variable

jarlevel

a string corresponding to the jar level (the level must be the same for all the jar variables)

Author

Francois Husson

Details

Perform the penalty analysis. Two models are constructed.
The one-dimensional model is constructed descriptor by descriptor. For descriptor_j the model is:
Hedonic score = Descriptor_j_Not enough+ Descriptor_j_Too much
The multi-dimensional model is constructed with all descriptors simultaneously:
Hedonic score = Descriptor_1_Not enough+ Descriptor_1_Too much +...+ Descriptor_p_Not enough+ Descriptor_p_Too much+ Product + Judge

See Also

plot.JAR

Examples

if (FALSE) {
data(JAR)
res.jar <- JAR(JAR,col.p=13,col.j=1,col.pref=2)
plot(res.jar,name.prod="284", model=1)
 }