A                package:approximator                R Documentation

_M_a_t_r_i_x _o_f _c_o_r_r_e_l_a_t_i_o_n_s _b_e_t_w_e_e_n _t_w_o _s_e_t_s _o_f _p_o_i_n_t_s

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

     Returns the matrix of correlations of code output at each level
     evaluated at points on the design matrix.

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

     A(level, Di, Dj, hpa)

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

   level: The level.  This enters via the correlation scales

      Di: First set of points

      Dj: Second set of points

     hpa: Hyperparameter object

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

     This is essentially a convenient wrapper for function
     'corr.matrix'.   It is not really intended for the end user.

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

     Robin K. S. Hankin

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

     M. C. Kennedy and A. O'Hagan 2000. "Predicting the output from a
     complex computer code when fast approximations are available"
     Biometrika, 87(1): pp1-13

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

     'corr.matrix','c.fun'

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

     data(toyapps)
     D2 <-  D1.toy[subsets.toy[[2]],]
     D3 <-  D1.toy[subsets.toy[[3]],]

     A(1,D2,D3,hpa.toy)
     A(2,D2,D3,hpa.toy)

