intcorDens             package:MergeMaid             R Documentation

_p_l_o_t _o_f _d_e_n_s_i_t_y _f_u_n_c_t_i_o_n_s _o_f _i_n_t_e_g_r_a_t_i_v_e _c_o_r_r_e_l_a_t_i_o_n_s

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

     Given a mergeExpressionSet, this function calculates and plots the
     density function of the approximate integrative correlations, as
     well as densities for the "null distributions" obtained by
     randomly permuting sample IDs.

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

        intcorDens(x,method,...)

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

       x: Object of class mergeExpressionSet.

  method: The available method to use is "pearson".

     ...: Graphical parameters to be passed to plot.

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

     Here we use the approximate method to calculate the integrative
     correlation.

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

     The value is null.  Returns a plot.

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

     'mergeExpressionSet-class','intCor','modelOutcome'

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

       if(require(Biobase) & require(MASS)){
       data(mergeData)
       merged  <-mergeExprs(sample1,sample2,sample3)

       intcorDens(merged)

       intcorDens(merged,cex.legend=1.5)

       intcorDens(merged,lty=2)
       }

