Yatquat             package:compositions             R Documentation

_Y_a_t_q_u_a_t _f_r_u_i_t _e_v_a_l_u_a_t_i_o_n

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

     The quality of yatquat tree fruit is assessed in terms of relative
     proportions  by volume of flesh, skin and stone. In an experiment
     an arboriculturist uses 40 trees, randomly allocated 20 to the
     hormone treatment and leaves untreated the remaining 20 trees.
     Data provides fruit compositions of the present season and the
     preceding season,  as well as the treatment: 1 for the treated
     trees, -1 for untreated trees.

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

     data(Yatquat)

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

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

     The yatquat tree produces each season a single large fruit. Data
     provides fruit compositions of the present season, the
     compositions of the fruit of the same 40 trees for the preceding
     season when none of the trees were treated,  and in addition the
     Type: 1 for the treated trees, -1 for untreated trees.  For each
     of the 40 cases we have two 3-part composition on flesh, skin and
     stone. The column names are:

         prFL  portion of fruit flesh in the present season,
         prSK  portion of fruit skin in the present season,
         prST  portion of fruit stone in the present season,
         Type  1 for treated,  $-1$ for untreated trees,
         paFL  portion of fruit flesh in the preceding season,
         paSK  portion of fruit skin in the preceding season,
         paST  portion of fruit stone in the preceding season,

     All 3-part compositions sum to one.

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

     Aitchison: CODA microcomputer statistical package, 1986, the file
     name YATQUAT.DAT, here included under the GNU Public Library
     Licence Version 2 or newer.

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

     Aitchison, J. (1986) The Statistical Analysis of Compositional
     Data, (Data 12) pp17.

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

     #data(Yatquat)
     #plot(acomp(Yatquat[,1:3]),col=as.numeric(Yatquat[,4])+2)
     #plot(acomp(Yatquat[,5:7]),col=as.numeric(Yatquat[,4])+2)

