wines {Flury} | R Documentation |
These data have been collected on the chemical composition of Weisser Riesling wines from three countries; South Africa,Germany and Italy
data(wines)
'wines' is a data frame with 26 observations, one factor denoting the country of origin and 15 quantitative variables denoting 15 free monoterpenes and C[13]-norisoprenoids. It is thought these influence the wine's aroma.
Country
South Africa
Germany
Italy
Y1
Y2
Y3
Y4
Y5
Y6
Y7
Y8
Y9
Y10
Y11
Y12
Y13
Y14
Y15
There are a total of nine South African wines, seven German wines (all from Pfalz) and ten from Northern Italy (from both Trentino Alto Adige as Friuli)
Marais, J., G. Versini, C.J. van Wyj and A. Rapp (1992) “Effect of region on free and bound monoterpene and C[13]-norisoprenoid concentration in Weisser Riesling wines” South African Journal of Enology and Viniculture 13:71-77
Flury, B.D. (1997) A First Course in Multivariate Statistics, Springer NY
data(wines) ## Not run: pairs(wines[,-1], lower.panel = function(x, y){ points(x, y, pch = unclass(wines[,1]), col = as.numeric(wines[,1]))}, main = "Pairwise scatter plots for Marais wine data") ## rather congested scatter plots! ## End(Not run)