twentyWines: 20 red wines (10 French, 10 American) were rated by an expert...

twentyWinesR Documentation

20 red wines (10 French, 10 American) were rated by an expert on multiple dimensions.

Description

twentyWines: 20 (imaginary) red wines (10 French, 10 American) are rated (by a semi-fictitious expert) from 1 to 20, on multiple sensory dimensions..

Usage

data("twentyWines")

Format

A list containing 3 data frames:

  • df.active the ratings of the 20 wines for Sugar and Astringent.

  • supplementary.variables stores the long names of the wines, and the ratings of the 20 wines for the supplementary variables Acid, Bitter, Fruity, Woody, and the Origin of the wines (French vs USA).

  • supplementary.observation the ratings for the mystery wine (Trius Red: a wine from Ontario).

Details

The data are derived from real data but have been "massaged" to be nice (e.g., means, variances, eigenvalues, are integers). The 10 French wines were a mix of Carbernet-Sauvignon and Merlot grapes and the 10 American wines were made from Zinfandel grapes.

The wines were first evaluated on Sugar and Astringent; these 2 dimensions are stored in the data frame df.active.

After the evaluation of the 20 wines was performed, the expert was also asked to evaluate (on the same dimensions) another red wine (Trius: a Cabernet-Merlot from Ontario, Canada). The results for this wine are stored in the data frame: supplementary.observation

After the first evaluation of the 21 wines, the (semi-fictitious) expert rated the wine on 2 other dimensions: Acid and Bitter.

Incidently, the expert (even though semi-fictitious) spontaneously commented that some wines were Fruity or Woody.

The long names of the wines, the origin of the wines (F for French and U for USA), the additional ratings, and the comments are stored in the data frame supplementary.variables.

Author(s)

Hervé Abdi and Dominique Valentin

References

These ratings were (strongly) inspired by the Words example from:

Abdi, H., Edelman, B., Valentin, D., & Dowling, W.J. (2009). Experimental Design and Analysis for Psychology. Oxford: Oxford University Press.


HerveAbdi/data4PCCAR documentation built on Sept. 11, 2022, 4:19 p.m.