winedat: Wine tasting
In smacof: Multidimensional Scaling
winedat R Documentation
Wine tasting
Description
This dataset collects dissimilarity matrices of 10 raters of 6 different wines.
Usage
data(winedat)
Format
A list of dissimilarity matrices reflecting the rating of 10 judges on 6 different wines (Ziniel Chardonnay, Markowitsch Chardonnay, Krems Chardonnay, Castel Nova Chardonnay, Ritinitis Noble Retsina, RetsinaCriteria). The attributes color, smell, taste, fun, and overall impression were rated on a scale from 1 (very good) to 5. Based on these ratings the distances were computed.
Examples
winedat
smacof documentation built on May 6, 2022, 9:05 a.m.
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| winedat | R Documentation |
Wine tasting
Description
This dataset collects dissimilarity matrices of 10 raters of 6 different wines.
Usage
data(winedat)
Format
A list of dissimilarity matrices reflecting the rating of 10 judges on 6 different wines (Ziniel Chardonnay, Markowitsch Chardonnay, Krems Chardonnay, Castel Nova Chardonnay, Ritinitis Noble Retsina, RetsinaCriteria). The attributes color, smell, taste, fun, and overall impression were rated on a scale from 1 (very good) to 5. Based on these ratings the distances were computed.
Examples
winedat
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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