MCRindError           package:MCRestimate           R Documentation

_I_n_d_i_v_i_d_u_a_l _E_r_r_o_r _o_f _t_h_e _o_u_t_e_r _c_r_o_s_s-_v_a_l_i_d_a_t_i_o_n_s

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

     'MCRindError' returns a vector with the individual number of
     incorrect classified samples for each cross-validation
     'plotIndGroupVotes' plots the individual group votes

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

     MCRindError(MCRe,
                                                     perGroup=FALSE)
                                                     
     plotIndGroupVotes(MCRest,
                                                                             PvD= 0.5,
                                                                             dotCol="red",
                                                                             errCol="black",
                                                                             xlab="",
                                                                             ylab="# misclassified samples (mean + SD)",
                                                                             ...)                                            

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

    MCRe: Object of S3 class 'MCRestimate'

perGroup: returns a vector with the individual number of incorrect
          classified samples for each group

  MCRest: Object of S3 class 'MCRestimate' 

     PvD: Offset of the text that belongs to a specific point in the
          plot

  dotCol: Color of the dots

  errCol: Line color between points

    xlab: Label of X-Axis

    ylab: Label of Y-Axis

     ...: Advanced options to the 'plot' command

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

     'MCRindError' returns a vector of individual errors.

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

     Markus Ruschhaupt <URL: mailto:m.ruschhaupt@dkfz.de>

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

     'MCRestimate'

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

     library(MCRestimate)
     library(golubEsets)
     data(Golub_Train)
     exSet <- Golub_Train[1:500,]
     result1 <-MCRestimate(exSet,"ALL.AML",classification.fun="RF.wrap",cross.outer=3,cross.repeat=3)
     MCRindError(result1)

