Skip to contents

This data set describes 27 characteristics of 21 wines distributed in four fields : rest, visual, olfactory and global.

Usage

data(escopage)

Format

escopage is a list of 3 components.

tab

is a data frame with 21 observations (wines) and 27 variables.

tab.names

is the vector of the names of sub-tables : "rest" "visual" "olfactory" "global".

blo

is a vector of the numbers of variables for each sub-table.

Source

Escofier, B. and Pagès, J. (1990) Analyses factorielles simples et multiples : objectifs, méthodes et interprétation Dunod, Paris. 1--267.

Escofier, B. and Pagès, J. (1994) Multiple factor analysis (AFMULT package). Computational Statistics and Data Analysis, 18, 121--140.

Examples

data(escopage)
w <- data.frame(scale(escopage$tab))
w <- ktab.data.frame(w, escopage$blo)
names(w)[1:4] <- escopage$tab.names
plot(mfa(w, scan = FALSE))
#> Error in eval(thecall$fac, envir = sys.frame(sys.nframe() + pos)): object 'w' not found