worksurv {ade4} | R Documentation

## 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))
    }

[Package ade4 version 1.7-13 Index]