adjMat                 package:RBGL                 R Documentation

_a_d_j_a_c_e_n_c_y _m_a_t_r_i_x _g_e_n_e_r_a_t_i_o_n _f_o_r _B_i_o_c_o_n_d_u_c_t_o_r::_g_r_a_p_h _o_b_j_e_c_t_s

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

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

     adjMat(x, maxn=100)

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

       x: x: an instance of Bioconductor graph

    maxn: maxn: smallest number of nodes beneath which no query needs
          to be answered to proceed with matrix construction 

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

     to be supplanted by sparse approach in graph package

_V_a_l_u_e:

_N_o_t_e:

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

     Vince Carey <stvjc@channing.harvard.edu>

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

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

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

     set.seed(123)
     library(graph)
     V <- 1:10
     M <- 1:4
     g1 <- randomGraph(V,M,.3)
     adjMat(g1)

