RepVict                 package:vcd                 R Documentation

_R_e_p_e_a_t _V_i_c_t_i_m_i_z_a_t_i_o_n _D_a_t_a

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

     Data from Reiss (1980) given by Fienberg (1980) about instances of
     repeat victimization for households in the U.S. National Crime
     Survey.

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

     data(RepVict)

_F_o_r_m_a_t:

     A 2-dimensional array resulting from cross-tabulating
     victimization. The variables and their levels are as follows:

       No  Name                  Levels
        1  First Victimization   Rape, Assault, Robbery, Pickpocket, Personal Larceny,
                                 Burglary, Household Larceny, Auto Theft
        2  Second Victimization  Rape, Assault, Robbery, Pickpocket, Personal Larceny,
                                 Burglary, Household Larceny, Auto Theft

_S_o_u_r_c_e:

     Michael Friendly (2000), Visualizing Categorical Data, page 113.

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

     S. E. Fienberg (1980), _The Analysis of Cross-Classified
     Categorical Data_, MIT Press, Cambridge, 2nd edition.

     A. J. J. Reiss (1980), Victim proneness by type of crime in repeat
     victimization. In S. E. Fienberg & A. J. J. Reiss (eds.),
     _Indicators of Crime and Criminal Justice_. U.S. Government
     Printing Office, Washington, DC.

     M. Friendly (2000), _Visualizing Categorical Data_. SAS Institute,
     Cary, NC.

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

     data(RepVict)

     mosaic(RepVict[-c(4,7),-c(4,7)], gp = shading_max,
            main = "Repeat Victimization Data")

