| bordeaux {ade4} | R Documentation |
The bordeaux data frame gives the opinions of 200 judges in a blind tasting of five different types of claret
(red wine from the Bordeaux area in the south western parts of France).
data(bordeaux)
This data frame has 5 rows (the wines) and 4 columns (the judgements) divided in excellent, good, mediocre and boring.
van Rijckevorsel, J. (1987) The application of fuzzy coding and horseshoes in multiple correspondence analysis. DSWO Press, Leiden (p. 32)
data(bordeaux) bordeaux score(dudi.coa(bordeaux, scan = FALSE))
> library(ade4)
> ### Name: bordeaux
> ### Title: Wine Tasting
> ### Aliases: bordeaux
> ### Keywords: datasets
>
> ### ** Examples
>
> data(bordeaux)
> bordeaux
excellent good mediocre boring
Cru_Bourgeois 45 126 24 5
Grand_Cru_classe 87 93 19 1
Vin_de_table 0 0 52 148
Bordeaux_d_origine 36 68 74 22
Vin_de_marque 0 30 111 59
> score(dudi.coa(bordeaux, scan = FALSE))

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