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:

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
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
pre
  Presidential election. On the last presidential election (1969), can you tell me the candidate for whom you have voted? `Duclos` `Deferre` `Krivine` `Rocard` `Poher` `Ducatel` `Pompidou` `NRAbs` No response, abstention
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)
    par(mfrow = c(2,2))
    apply(worksurv,2, function(x) s.class(acm1$li, factor(x),
        attr(worksurv, 'counts')))

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