heatmapsM             package:maigesPack             R Documentation

_F_u_n_c_t_i_o_n _t_o _p_l_o_t _h_e_a_t_m_a_p_s _s_e_p_a_r_a_t_i_n_g _g_r_o_u_p_s _g_e_n_e_r_a_t_e_d _b_y _S_O_M _o_r
_k-_m_e_a_n_s

_D_e_s_c_r_i_p_t_i_o_n:

     This function display individual heatmaps for each group
     constructed by divisive clustering techniques, like SOM or
     k-means. It is possible to add hierarchical dendrograms to each
     group individually.

_U_s_a_g_e:

     heatmapsM(data, groups, sampleT=NULL, doHier=FALSE, distfun=dist,
               hclustfun=hclust, ...)

_A_r_g_u_m_e_n_t_s:

    data: numeric matrix to be displayed, including all observations
          from all groups.

  groups: numeric or character vector (with length equal to columns or
          rows of data) with identification of the groups to be
          separated. If numeric must contain the indexes and if
          character must contain the colnames or rownames.

 sampleT: list with 2 vectors, the first one specifying the first
          character of each sample label to be coloured according to
          the colours specified in the second vector.

  doHier: logical indicating to plot or not the hierarchical branch in
          the other dimension of the matrix.

 distfun: the function to be used for distance calculation.

hclustfun: the function for to be used for hierarchical cluster
          calculation.

     ...: additional parameters for 'image' function.

_D_e_t_a_i_l_s:

     This function is used internally by the functions 'hierM', 'somM'
     and 'kmeansM'. If you want to the hierarchical dendrogram in the
     other dimension, pay attention to the number of observations in
     this dimension, because the calculation of the hierarchical branch
     may be very time consuming!

_V_a_l_u_e:

     This function display the heatmaps and don't return any object or
     value.

_A_u_t_h_o_r(_s):

     Elier B. Cristo, addapted by Gustavo H. Esteves
     <gesteves@vision.ime.usp.br>

_S_e_e _A_l_s_o:

     'hierM', 'somM', 'kmeansM'

