AdjustPvalues          package:GeneSelector          R Documentation

_P-_v_a_l_u_e _a_d_j_u_s_t_m_e_n_t _f_o_r _m_u_t_i_p_l_e _t_e_s_t_i_n_g.

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

     Wrapper function for the functions 'mt.rawp2adjp' from the package
     'multtest' and 'qvalue.cal' from the package 'siggenes'.

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

     AdjustPvalues(pval, method = c("BH", "qvalue", "Bonferroni", 
                    "Holm", "Hochberg", "SidakSS", "SidakSD", "BY"))

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

    pval: A numeric vector of raw p-values

  method: Several multiple testing adjustment procedures.

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

     A numeric vector of adjusted p-values corresponding to the
     argument 'pval'.

_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:

     Dudoit, S., Shaffer, J.P., Boldrick, J.C. (2003). 
       Multiple Hypothesis Testing in Microarray Experiments
     _Statistical Science, 18, 71-103_

     Storey, J.D., Tibshirani, R. (2003). 
      Statistical significance for genomewide studies. _PNAS USA, 100,
     9440-9445_

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

     GeneSelector, RecoveryScore

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

     ### Simulate 100 uniform random variates
     rawp <- runif(100)
     ### Adjust with Benjamin-Hochberg procedure
     adjustedp <- AdjustPvalues(rawp, method="BH")

