banque                 package:ade4                 R Documentation

_T_a_b_l_e _o_f _F_a_c_t_o_r_s

_D_e_s_c_r_i_p_t_i_o_n:

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

_U_s_a_g_e:

     data(banque)

_F_o_r_m_a_t:

     This data frame contains the following columns:

   _c_s_p : "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 

   _d_u_r_e_e : "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

   _o_p_p_o : "Stopped a check ?" a factor with levels  'non' no  'oui' yes

   _a_g_e : "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[

   _s_e_x_e : "Customer's gender" a factor with levels  'hom' Male  'fem'
        Female

   _i_n_t_e_r_d_i_t : "No checkbook allowed" a factor with levels 'non' no 
        'oui' yes 

   _c_a_b_l_e_u_e : "Possess a bank card ?" a factor with levels  'non' no 
        'oui' yes 

   _a_s_s_u_r_v_i : "Contrat of life insurance ?" a factor with levels  'non'
        no
         'oui' yes

   _s_o_l_d_e_v_u : "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  

   _e_p_a_r_l_o_g : "Savings and loan association account amount" a factor
        with levels  'for' > 20000  'fai' >0 and <20000  'nul' nulle  

   _e_p_a_r_l_i_v : "Savings bank amount" a factor with levels  'for' > 20000 
        'fai' >0 and <20000  'nul' nulle  

   _c_r_e_d_h_a_b : "Home loan owner" a factor with levels  'non' no  'oui'
        yes  

   _c_r_e_d_c_o_n : "Consumer credit amount" a factor with levels  'nul' none 
        'fai' >0 and <20000  'for' > 20000  

   _v_e_r_s_e_s_p : "Check deposits" a factor with levels  'oui' yes  'non' no          

   _r_e_t_r_e_s_p : "Cash withdrawals" a factor with levels  'fai' < 2000 
        'moy' 2000-5000  'for' > 5000  

   _r_e_m_i_c_h_e : "Endorsed checks amount" a factor with levels  'for'
        >10000  'moy' 10000-5000  'fai' 1-5000  'nul' none  

   _p_r_e_l_t_r_e : "Treasury Department tax deductions" a factor with levels 
        'nul' none  'fai' <1000  'moy' >1000  

   _p_r_e_l_f_i_n : "Financial institution deductions" a factor with levels 
        'nul' none  'fai' <1000  'moy' >1000  

   _v_i_r_e_d_e_b : "Debit transfer amount" a factor with levels  'nul' none 
        'fai' <2500  'moy' 2500-5000  'for' >5000  

   _v_i_r_e_c_r_e : "Credit transfer amount" a factor with levels  'for'
        >10000  'moy' 10000-5000  'fai' <5000  'nul' aucun  

   _p_o_r_t_t_i_t : "Securities portfolio estimations" a factor with levels 
        'nul' none  'fai' < 20000  'moy' 20000-100000  'for' >100000  

_S_o_u_r_c_e:

     anonymous

_E_x_a_m_p_l_e_s:

     data(banque)
     banque.acm <- dudi.acm(banque, scann = FALSE, nf = 3)
     apply(banque.acm$cr, 2, mean)
     banque.acm$eig[1:banque.acm$nf] # the same thing
     s.arrow(banque.acm$c1, clab = 0.75)

