| hobbies | R Documentation | 
The data used here concern a questionnaire on hobbies. We asked to 8403 individuals how answer questions about their hobbies (18 questions). The following four variables were used to label the individuals: sex (male, female), age (15-25, 26-35, 36-45, 46-55, 56-65, 66-75, 76-85, 86-100), marital status (single, married, widowed,divorced, remarried), profession (manual labourer, unskilled worker, technician, foreman, senior management, employee, other). And finally, a quantitative variable indicates the number of hobbies practised out of the 18 possible choices.
data(tea)A data frame with 8403 rows and 23 columns. Rows represent the individuals, columns represent the different questions. The first 18 questions are active ones, and the 4 following ones are supplementary categorical variables and the 23th is a supplementary quantitative variable (the number of activities)
data(hobbies)
## Not run: 
res.mca <- MCA(hobbies,quali.sup=19:22,quanti.sup=23,method="Burt")
plot(res.mca,invisible=c("ind","quali.sup"),hab="quali") ### active var. only
plot(res.mca,invisible=c("var","quali.sup"),cex=.5,label="none") ### individuals only
plot(res.mca,invisible=c("ind","var"),hab="quali") ### supp. qualitative var. only
dimdesc(res.mca)
plotellipses(res.mca,keepvar=1:4)
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.