fmriica                 package:fmri                 R Documentation

_I_n_d_e_p_e_n_d_e_n_t _C_o_m_p_o_n_e_n_t _A_n_a_l_y_s_i_s

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

     The function performs Independent Component Analysis.

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

     fmriica(data, m = 3, method = "spatial", xind = NULL, yind = NULL, zind = NULL, tind = NULL, ...)

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

    data: Observation matrix (dimension Nxd) 

       m: Number of independent components. 

  method: Either '"spatial"' or '"temporal"'. Specifies the type of ICA
          to perform.  

    xind: index of x-coordinates to use 

    yind: index of y-coordinates to use 

    zind: index of z-coordinates to use 

    tind: index of time points to use 

     ...: further arguments to fastICA 

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

     This is still experimental code based on the package fastICA. The
     package fastICA seems limited in the data-size it can handle.
     'xind', 'yind', 'zind' and 'tind' may be use to restrict the
     analysis to a cube in space and certain time points.

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

     The function returns a list with components 

   ihat : Matrix containing the first m ICA directions as columns.

   sdev : Standard deviations of the principal components of  the
          thresholded ICA directions

   xhat : first m components of the rotated data

      v : If 'keepv==TRUE' the set of directions 'v^{(k)}'

  normv : If 'keepv==TRUE' the norm of each 'v^{(k)}'.

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

     J\"org Polzehl polzehl@wias-berlin.de

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

     'ngca'

