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)

