tea: tea (data)

In FactoMineR: Multivariate Exploratory Data Analysis and Data Mining

tea (data)

Description

The data used here concern a questionnaire on tea. We asked to 300 individuals how they drink tea (18 questions), what are their product's perception (12 questions) and some personal details (4 questions).

Usage

data(tea)

Format

A data frame with 300 rows and 36 columns. Rows represent the individuals, columns represent the different questions. The first 18 questions are active ones, the 19th is a supplementary quantitative variable (the age) and the last variables are supplementary categorical variables.

Examples

## Not run: 
data(tea)
res.mca=MCA(tea,quanti.sup=19,quali.sup=20:36)
plot(res.mca,invisible=c("var","quali.sup","quanti.sup"),cex=0.7)
plot(res.mca,invisible=c("ind","quali.sup","quanti.sup"),cex=0.8)
plot(res.mca,invisible=c("quali.sup","quanti.sup"),cex=0.8)
dimdesc(res.mca)
plotellipses(res.mca,keepvar=1:4)

## make a hierarchical clustering: click on the tree to define the number of clusters
## HCPC(res.mca)

## End(Not run)

FactoMineR documentation built on May 29, 2024, 3:36 a.m.