worksurv {ade4}

French Worker Survey (1970)

Description

The worksurv data frame gives 319 response items and 4 questions providing from a French Worker Survey.

Usage

data(worksurv)

Format

This data frame contains the following columns:

1. pro: Professional elections. In professional elections in your firm, would you rather vote for a list supported by?

   • CGT

   • CFDT

   • FO

   • CFTC

   • Auton Autonomous

   • Abst

   • Nonaffi Not affiliated

   • NR No response

2. una: Union affiliation. At the present time, are you affiliated to a Union, and in the affirmative, which one?

   • CGT

   • CFDT

   • FO

   • CFTC

   • Auton Autonomous

   • CGC

   • Notaffi Not affiliated

   • NR No response

3. pre: Presidential election. On the last presidential election (1969), can you tell me the candidate for whom you havevoted?

   • Duclos

   • Deferre

   • Krivine

   • Rocard

   • Poher

   • Ducatel

   • Pompidou

   • NRAbs No response, abstention

4. pol: political sympathy. Which political party do you feel closest to, as a rule?

   • Communist (PCF)

   • Socialist (SFIO+PSU+FGDS)

   • Left (Party of workers,...)

   • Center MRP+RAD.

   • RI

   • Right INDEP.+CNI

   • Gaullist UNR

   • NR No response

Details

The data frame worksurv has the attribute 'counts' giving the number of responses for each item.

Source

Rouanet, H. and Le Roux, B. (1993) Analyse des données multidimensionnelles. Dunod, Paris.

References

Le Roux, B. and Rouanet, H. (1997) Interpreting axes in multiple correspondence analysis: method of the contributions of points and deviation. Pages 197-220 in B. J. and M. Greenacre, editors. Visualization of categorical data, Acamedic Press, London.

Examples

data(worksurv)
acm1 <- dudi.acm(worksurv, row.w = attr(worksurv, "counts"), scan = FALSE)

if(adegraphicsLoaded()) {
  s.class(acm1$li, worksurv)
} else {
  par(mfrow = c(2, 2))
  apply(worksurv, 2, function(x) s.class(acm1$li, factor(x), attr(worksurv, 'counts')))
  par(mfrow = c(1, 1))
}