censcale               package:mclust               R Documentation

_C_e_n_t_e_r_i_n_g _a_n_d _S_c_a_l_i_n_g _o_f _D_a_t_a

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

     Transforms a data set by subtracting the column mean from each
     column and dividing each column by the square root of its variance
     when the latter is sufficiently large in magnitude.

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

     censcale(x, tol = 0.0001)

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

       x: Matrix of observations. 

     tol: Threshold for column scaling. A column is divided by the
          square root of its variance (standard deviation) when that
          quantity exceeds `tol', The default value is `0.0001'. 

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

     The centered and scaled matrix of observations.

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

     data(iris)
     iris.sc <- censcale(iris[,1:4])

