mergeCor              package:MergeMaid              R Documentation

_C_l_a_s_s _m_e_r_g_e_C_o_r, _a _c_l_a_s_s _f_o_r _s_t_o_r_i_n_g _d_a_t_a _r_e_l_e_v_a_n_t _t_o _i_n_t_e_g_r_a_t_i_v_e _c_o_r_r_e_l_a_t_i_o_n _c_o_e_f_f_i_c_i_e_n_t_s.

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

     This is the class representation for integrative correlation
     coefficients.

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

     If 'n' is the number of studies then for i < j <= n, the pairwise
     correlation of correlations for studies i and j is stored in
     column ((i-1)*(n-1)-(i-2)*(i-1)/2 + j-i) of the pairwise.cors
     slot.

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

     'mergeCor-class','intCor','modelOutcome', 'mergeExprSet-class'

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

       
       data(mergeData)
       merged  <- mergeExprs(sample1,sample2,sample3)
       intcor3  <-intCor(merged,method="pearson")
       plot(intcor3)
       intcor2  <-intCor(merged[1:2],method="kendall")
       plot(intcor2,pch=4,col=5)

       cors(intcor2)
       pairwise.cors(intcor3)
       integrative.cors(intcor3)
       integrative.cors(intcor2)["Hs.12101"]
       

