sr2css                  package:sna                  R Documentation

_C_o_n_v_e_r_t _a _R_o_w-_w_i_s_e _S_e_l_f-_R_e_p_o_r_t _M_a_t_r_i_x _t_o _a _C_S_S _M_a_t_r_i_x _w_i_t_h _M_i_s_s_i_n_g _O_b_s_e_r_v_a_t_i_o_n_s

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

     Given a matrix in which the ith row corresponds to i's reported
     relations, `sr2css' creates a graph stack in which each element
     represents a CSS slice with missing observations.

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

     sr2css(net)

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

     net: An adjacency matrix 

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

     A cognitive social structure (CSS) is an nxnxn array in which the
     ith matrix corresponds to the ith actor's perception of the entire
     network.  Here, we take a conventional self-report data structure
     and put it in CSS format for routines (such as `bbnam') which
     require this.

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

     An array (graph stack) containing the CSS

_N_o_t_e:

     A row-wise self-report matrix doesn't contain a great deal of
     data, and the data in question is certainly not an ignorable
     sample of the individual's CSS for most purposes.  The provision
     of this routine should not be perceived as license to substitute
     SR for CSS data at will.

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

     Carter T. Butts ctb@andrew.cmu.edu

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

     Krackhardt, D.  (1987).  Cognitive Social Structures, 9, 109-134.

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

     #Start with some random reports
     g<-rgraph(10)

     #Transform to CSS format
     c<-sr2css(g)

