robustscale             package:pickgene             R Documentation

_R_o_b_u_s_t _E_s_t_i_m_a_t_i_o_n _o_f _M_e_d_i_a_n (_c_e_n_t_e_r) _a_n_d _M_A_D (_s_c_a_l_e)

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

     Smoothing spline estimate of median and mean absolute deviation
     (MAD).

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

     robustscale(y, x, nslice=400, corcenter=TRUE, decrease=TRUE)

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

       y: response

       x: predictor

  nslice: number of slices (should be "large")

corcenter: correct for center

decrease: force MAD to decrease with 'x'

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

     This divides data into roughly many 'nslice' slices and computes
     median and mean absolute deviation ('mad') for each slice. These
     are then smoothed using 'smooth.spline'.

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

     Data frame containing significant genes with the following
     information: 

  center: estimate of center median

   scale: MAD estimate of scale

       x: ordered 'x' values for plotting

       y: 'y' sorted by 'x'

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

     Yi Lin

_S_e_e _A_l_s_o:

     'mad', 'smooth.spline'

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

     ## Not run: 
     robustscale(y,x)
     ## End(Not run)

