norm                  package:minet                  R Documentation

_D_a_t_a _N_o_r_m_a_l_i_z_a_t_i_o_n

_D_e_s_c_r_i_p_t_i_o_n:

     Normalizes data 'x' using the following code :
     (x-min(x))/(max(x-min(x))).

_U_s_a_g_e:

     norm(x)

_A_r_g_u_m_e_n_t_s:

       x: A data.frame or matrix or vector containing the data to be
          normalized. In this package the 'norm' method is used to 
          normalize the network's weighted adjacency matrices.

_V_a_l_u_e:

     'norm' returns the data.frame 'x' with normalized values (i.e.
     values ranging from 0 to 1)

_E_x_a_m_p_l_e_s:

     data <- runif(100,-10,10)
     ndata <- norm(data)

