sonar                 package:dprep                 R Documentation

_T_h_e _S_o_n_a_r _d_a_t_a_s_e_t

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

     This is the sonar dataset It containis information of 208 objects
     and 60 attributes. The objects are classified in two classes:
     "rock" and "mine".

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

     data(sonar)

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

     A data frame with 208 observations on 61 variables. The first 60
     represent the energy within a particular frequency band,integrated
     over a  certain period of time.  The last column contains the
     class labels. There are two  classes 0 if the object is a rock,
     and 1 if the object is a mine (metal cylinder). The range value of
     each attribute varies from 0.0 to 1.0.

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

     The UCI Machine Learning Database Repository at:

        *  <URL: ftp://ftp.ics.uci.edu/pub/machine-learning-databases>

        *  <URL: http://www.ics.uci.edu/~mlearn/MLRepository.html>

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

     #Robust detection of outliers in sonar-class1 using MVE----
     data(sonar)
     robout(sonar,1,"mve",rep=10)

