pluton                package:cluster                R Documentation

_I_s_o_t_o_p_i_c _C_o_m_p_o_s_i_t_i_o_n _P_l_u_t_o_n_i_u_m _B_a_t_c_h_e_s

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

     The 'pluton' data frame has 45 rows and 4 columns, containing
     percentages of isotopic composition of 45 Plutonium batches.

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

     data(pluton)

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

     This data frame contains the following columns:

     _P_u_2_3_8 the percentages of (238)Pu, always less than 2 percent.

     _P_u_2_3_9 the percentages of (239)Pu, typically between 60 and 80
          percent (from neutron capture of Uranium, (238)U).

     _P_u_2_4_0 percentage of the plutonium 240 isotope.

     _P_u_2_4_1 percentage of the plutonium 241 isotope.

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

     Note that the percentage of plutonium~242 can be computed from the
     other four percentages, see the examples.

     In the reference below it is explained why it is very desirable to
     combine these plutonium patches in three groups of similar size.

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

     Available as 'pluton.dat' in the archive <URL:
     http://win-www.uia.ac.be/u/statis/datasets/clusplot-examples.tar.g
     z>

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

     Rousseeuw, P.J. and Kaufman, L and Trauwaert, E. (1996) Fuzzy
     clustering using scatter matrices, _Computational Statistics and
     Data Analysis_ *23*(1), 135-151.

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

     data(pluton)

     hist(apply(pluton,1,sum), col = "gray") # between 94% and 100%
     pu5 <- pluton
     pu5$Pu242 <- 100 - apply(pluton,1,sum) # the remaining isotope.
     pairs(pu5)

