RankingWelchT          package:GeneSelector          R Documentation

_R_a_n_k_i_n_g _b_a_s_e_d _o_n _t_h_e _W_e_l_c_h _t _s_t_a_t_i_s_t_i_c.

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

     Performs univariate (rowwise) Welch tests on a gene expression
     matrix. The Welch t statistic is a better alternative to the 
     'ordinary' t statistic in the two sample, unequal variances
     setting.
      For 'S4' method information, see RankingWelchT-methods.

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

     RankingWelchT(x, y, type = "unpaired", pvalues = TRUE, gene.names = NULL, ...)

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

       x: A 'matrix' of gene expression values with rows corresponding
          to genes and columns corresponding to observations or
          alternatively an object of class 'ExpressionSet'.

       y: If 'x' is a matrix, then 'y' may be a 'numeric' vector or a
          factor with at most two levels.
           If 'x' is an 'ExpressionSet', then 'y' is a character
          specifying the phenotype variable in the output from 'pData'.

    type: Only the two sample case, 'type="unpaired"' is possible.
          Otherwise, use RankingTstat. Variances are assumed to be
          unequal.

 pvalues: Should p-values be computed ? Default is 'TRUE'.

gene.names: An optional vector of gene names.

     ...: Currenly unused argument.

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

     An object of class GeneRanking.

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

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

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

     GetRepeatRanking, RankingTstat, RankingFC,  RankingWilcoxon,
     RankingBaldiLong, RankingFoxDimmic, RankingLimma,  RankingEbam,
     RankingWilcEbam, RankingSam,  RankingBstat, RankingShrinkageT,
     RankingSoftthresholdT,  RankingPermutation, RankingGap

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

     ## Load toy gene expression data
     data(toydata)
     ### class labels
     yy <- toydata[1,]
     ### gene expression
     xx <- toydata[-1,]
     ### run RankingWelch
     welchT <- RankingWelchT(xx, yy, type="unpaired")

