perfumes: Perfumes data set
In MargotBr/SeqAgSorting: Statistical analysis of Sequential Agglomerative Sorting task data (stimulus-oriented analysis and participant-oriented analysis)
perfumes R Documentation
Perfumes data set
Description
In the 'perfumes' study, a panel of 60 participants was recruited and asked realized a Sequential Agglomerative Sorting (SAS) task. This task involved 3 subsets of 12, 14, and 14 perfumes. Additionally, external information about the participants was collected, such as their gender (F or M) and their age bracket (-18, 18-20, 21-30, 31-40, 41-50, 51-60, +61).
Usage
data("perfumes")
Format
An initial data frame of dimensions 40 x 180 containing the SAS task data. The initial data frame is supplemented by the 2 covariates providing information about the participants (all categorical).
Author(s)
Margot Brard margot.brard@agrocampus-ouest.fr
Examples
data(perfumes)
MargotBr/SeqAgSorting documentation built on Dec. 3, 2023, 11:21 p.m.
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| perfumes | R Documentation |
Perfumes data set
Description
In the 'perfumes' study, a panel of 60 participants was recruited and asked realized a Sequential Agglomerative Sorting (SAS) task. This task involved 3 subsets of 12, 14, and 14 perfumes. Additionally, external information about the participants was collected, such as their gender (F or M) and their age bracket (-18, 18-20, 21-30, 31-40, 41-50, 51-60, +61).
Usage
data("perfumes")Format
An initial data frame of dimensions 40 x 180 containing the SAS task data. The initial data frame is supplemented by the 2 covariates providing information about the participants (all categorical).
Author(s)
Margot Brard margot.brard@agrocampus-ouest.fr
Examples
data(perfumes)
R Package Documentation
Browse R Packages
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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