summary.aplus          package:compositions          R Documentation

_S_u_m_m_a_r_i_e_s _o_f _a_m_o_u_n_t_s

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

     Summary of a vector of amounts, according to its underlying
     geometry.

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

               ## S3 method for class 'aplus':
               summary( object, ... ,digits=max(3, getOption("digits")-3))
               ## S3 method for class 'rplus':
               summary( object, ... )
               ## S3 method for class 'rmult':
               summary( object, ... )
               

_A_r_g_u_m_e_n_t_s:

  object: an 'aplus'/'rplus' set of amounts

  digits: the number of significant digits to be used. The argument can
          also be used with rplus/rmult.

     ...: not used, only here for generics

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

_V_a_l_u_e:

     A matrix containing summary statistics (minimum, the three
     quantiles, the mean  and the maximum) of each component. The
     obtained value is the same as for the classical summary 'summary',
     although in the case of 'aplus' objects, the statistics have been
     computed in a logarithmic geometry, and exponentiated afterwards
     (which just changes the mean, equivalent  to the geometric mean of
     the data set).

_A_u_t_h_o_r(_s):

     K.Gerald v.d. Boogaart <URL: http://www.stat.boogaart.de>

_R_e_f_e_r_e_n_c_e_s:

_S_e_e _A_l_s_o:

     'aplus','rplus','summary.acomp', 'summary.rcomp'

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

     data(SimulatedAmounts)
     summary(aplus(sa.lognormals))
     summary(rplus(sa.lognormals))
     summary(rmult(sa.lognormals))

