banque {ade4} | R Documentation

## Table of Factors

### Description

`banque` gives the results of a bank survey onto 810 customers.

### Usage

    data(banque)

### Format

This data frame contains the following columns:

1. csp: "Socio-professional categories" a factor with levels

   - `agric` Farmers

   - `artis` Craftsmen, Shopkeepers, Company directors

   - `cadsu` Executives and higher intellectual professions

   - `inter` Intermediate professions

   - `emplo` Other white-collar workers

   - `ouvri` Manual workers

   - `retra` Pensionners

   - `inact` Non working population

   - `etudi` Students

2. duree: "Time relations with the customer" a factor with levels

   - `dm2` <2 years

   - `d24` [2 years, 4 years[

   - `d48` [4 years, 8 years[

   - `d812` [8 years, 12 years[

   - `dp12` >= 12 years

3. oppo: "Stopped a check?" a factor with levels

   - `non` no

   - `oui` yes

4. age: "Customer's age" a factor with levels

   - `ai25` [18 years, 25 years[

   - `ai35` [25 years, 35 years[

   - `ai45` [35 years, 45 years[

   - `ai55` [45 years, 55 years[

   - `ai75` [55 years, 75 years[

5. sexe: "Customer's gender" a factor with levels

   - `hom` Male

   - `fem` Female

6. interdit: "No checkbook allowed" a factor with levels

   - `non` no

   - `oui` yes

7. cableue: "Possess a bank card?" a factor with levels

   - `non` no

   - `oui` yes

8. assurvi: "Contrat of life insurance?" a factor with levels

   - `non` no

   - `oui` yes

9. soldevu: "Balance of the current accounts" a factor with levels

   - `p4` credit balance > 20000

   - `p3` credit balance 12000-20000

   - `p2` credit balance 4000-120000

   - `p1` credit balance >0-4000

   - `n1` debit balance 0-4000

   - `n2` debit balance >4000

10. eparlog: "Savings and loan association account amount" a factor with levels

    - `for` > 20000

    - `fai` >0 and <20000

    - `nul` nulle

11. eparliv: "Savings bank amount" a factor with levels

    - `for` > 20000

    - `fai` >0 and <20000

    - `nul` nulle

12. credhab: "Home loan owner" a factor with levels

    - `non` no

    - `oui` yes

13. credcon: "Consumer credit amount" a factor with levels

    - `nul` none

    - `fai` >0 and <20000

    - `for` > 20000

14. versesp: "Check deposits" a factor with levels

    - `oui` yes

    - `non` no

15. retresp: "Cash withdrawals" a factor with levels

    - `fai` < 2000

    - `moy` 2000-5000

    - `for` > 5000

16. remiche: "Endorsed checks amount" a factor with levels

    - `for` >10000

    - `moy` 10000-5000

    - `fai` 1-5000

    - `nul` none

17. preltre: "Treasury Department tax deductions" a factor with levels

    - `nul` none

    - `fai` <1000

    - `moy` >1000

18. prelfin: "Financial institution deductions" a factor with levels

    - `nul` none

    - `fai` <1000

    - `moy` >1000

19. viredeb: "Debit transfer amount" a factor with levels

    - `nul` none

    - `fai` <2500

    - `moy` 2500-5000

    - `for` >5000

20. virecre: "Credit transfer amount" a factor with levels

    - `for` >10000

    - `moy` 10000-5000

    - `fai` <5000

    - `nul` aucun

21. porttit: "Securities portfolio estimations" a factor with levels

    - `nul` none

    - `fai` < 20000

    - `moy` 20000-100000

    - `for` >100000

### Source

anonymous

### Examples

    data(banque)
    banque.acm <- dudi.acm(banque, scannf = FALSE, nf = 3)
    apply(banque.acm$cr, 2, mean)
    banque.acm$eig[1:banque.acm$nf] # the same thing

    if(adegraphicsLoaded()) {
      g <- s.arrow(banque.acm$c1, plabels.cex = 0.75)
    } else {
      s.arrow(banque.acm$c1, clab = 0.75)
    }

[Package ade4 version 1.7-13 Index]