adk-package               package:adk               R Documentation

_T_h_e _P_a_c_k_a_g_e _a_d_k _C_o_n_t_a_i_n_s _a _K-_S_a_m_p_l_e _A_n_d_e_r_s_o_n-_D_a_r_l_i_n_g _T_e_s_t _a_n_d _i_t_s _C_o_m_b_i_n_a_t_i_o_n_s

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

     The K-sample Anderson-Darling test 'adk.test' is used to test the
     hypothesis that K samples of various sizes come from a common
     continuous distribution that is otherwise unspecified. It is a
     rank test and it is consistent against all alternatives. The
     combined version of the test 'adk.combined.test' is used to test
     several such hypotheses at the same time and the common
     distribution may vary from hypothesis to hypothesis.

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


       Package:  adk
       Type:     Package
       Version:  1.0
       Date:     2008-01-21
       License:  GPL version 2 or newer

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

     Fritz Scholz

     Maintainer:  <fscholz@u.washington.edu>

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

     Scholz F.W. and Stephens M.A. (1987), K-sample Anderson-Darling
     Tests, _Journal of the American Statistical Association,_ *Vol 82,
     No. 399*,  918-924.

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

     ## Example using adk.test
     x <- list(c(1,3,2,5,7),c(2,8,1,6,9,4),c(12,5,7,9,11))
     out <- adk.test(x) # or out <- adk.test(c(1,3,2,5,7),c(2,8,1,6,9,4),c(12,5,7,9,11))

     ## Example using adk.combined.test
     x1 <- list( c(1, 3, 2, 5, 7), c(2, 8, 1, 6, 9, 4), c(12, 5, 7, 9, 11) )
     x2 <- list( c(51, 43, 31, 53, 21, 75), c(23, 45, 61, 17, 60) )
     adk.combined.out <- adk.combined.test(x1,x2)  # or out <- adk.combined.test(list(x1,x2))

