swiss                  package:base                  R Documentation

_S_w_i_s_s _F_e_r_t_i_l_i_t_y _a_n_d _S_o_c_i_o_e_c_o_n_o_m_i_c _I_n_d_i_c_a_t_o_r_s (_1_8_8_8) _D_a_t_a

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

     Standardized fertility measure and socio-economic indicators for
     each of 47 French-speaking provinces of Switzerland at about 1888.

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

     data(swiss)

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

     A data frame with 47 observations on 6 variables, each of which is
     in percent, i.e., in [0,100].

       [,1]  Fertility         Ig, ``common standardized fertility measure''
       [,2]  Agriculture       % involved in agriculture as occupation
       [,3]  Examination       % ``draftees'' receiving highest mark on army examination
       [,4]  Education         % education beyond primary school.
       [,5]  Catholic          % catholic (as opposed to ``protestant'').
       [,6]  Infant.Mortality  live births who live less than 1 year.

     All variables but `Fertility' give proportions of the population.

_D_e_t_a_i_l_s:

     (paraphrasing Mosteller and Tukey):

     Switzerland, in 1888, was entering a period known as the
     ``demographic transition''; i.e., its fertility was beginning to
     fall from the high level typical of underdeveloped countries.

     The data collected are for 47 seven French-speaking ``provinces''
     at about 1888.

     Here, all variables are scaled to [0,100], where in the original,
     all but `"Catholic"' were scaled to [0,1].

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

     Project ``16P5'', pages 549-551 in

     Mosteller, F. and Tukey, J. W. (1977) Data Analysis and
     Regression: A Second Course in Statistics. Addison-Wesley, Reading
     Mass.

     indicating their source as ``Data used by permission of Franice
     van de Walle. Office of Population Research, Princeton University,
     1976.  Unpublished data assembled under NICHD contract number No
     1-HD-O-2077.''

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

     data(swiss)
     pairs(swiss, panel = panel.smooth, main = "swiss data")
     summary(lm(Fertility ~ . , data = swiss))

