StabilityLm-class        package:GeneSelector        R Documentation

"_S_t_a_b_i_l_i_t_y_L_m"

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

     An object returned from a call to GetStabilityLm

_S_l_o_t_s:


     '_c_o_e_f_f_i_c_i_e_n_t_s': Slopes of the regression with response=ranks from
          perturbed dataset 'b', 'b=1,...,B', where 
          'B=length(coefficients)'=no. of perturbed datasets and
          regressor=ranks from original dataset.

     '_R_2_v_e_c': A numeric vector of the univariate coefficients of
          determination (length is equal to that of 'coefficients').

     '_m_u_l_t_i_v_a_r_i_a_t_e_R_2': The multivariate coefficient of determination.

     '_r_e_s_i_d_u_a_l_s': A numeric vector of multivariate residuals.  If 'E'
          is the estimated residual matrix, then the residual for gene
          'i' is 'sum(E[i,]^2)'. Note that in contrast to
          'residuals.unscaled', the residual matrix 'E' has already
          been rescaled with the square root of the weight matrix.

     '_r_e_s_i_d_u_a_l_s._u_n_s_c_a_l_e_d': As 'residuals', but without re-scaling
          according to different weights.

     '_w_e_i_g_h_t_s_c_h_e_m_e': A list that gives information about the weighting
          scheme used, s. GetStabilityLm

_M_e_t_h_o_d_s:


     _s_h_o_w Use 'show(object)' for brief information.

     _p_l_o_t Use 'plot(object)' for a multivariate residual plot,  s.
          plot,StabilityLm

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

     Martin Slawski martin.slawski@campus.lmu.de 
      Anne-Laure Boulesteix <URL: http://www.slcmsr.net/boulesteix>

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

     Mardia, K.V., Kent, J.T., Bibby, J.M. (1979). 
      Multivariate Analysis. _Academic Press_

