nni            package:pcaMethods            R Documentation(latin1)

_N_e_a_r_e_s_t _n_e_i_g_h_b_o_u_r _i_m_p_u_t_a_t_i_o_n

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

     Wrapper function for imputation methods based on nearest neighbour
     clustering. Currently llsImpute only.

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

     nni(object, method=c("llsImpute"), subset=numeric(),...)

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

  object: Numerical matrix with (or an object coercible to such) with
          samples in rows and variables as columns. Also takes
          'ExpressionSet' in which case the transposed expression
          matrix is used.

  subset: For convenience one can pass a large matrix but only use the
          variable specified as subset. Can be colnames or indices.

  method: Currently "llsImpute" only.

     ...: Further arguments to the chosen method.

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

     This method is wrapper function to llsImpute, See documentation
     for 'link{llsImpute}' Extra arguments usually given to this
     function include:

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

     A 'clusterRes' object. Or a list containing a clusterRes object as
     first and an ExpressionSet object as second entry if the input was
     of type ExpressionSet.

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

     Wolfram Stacklies

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

     'llsImpute', 'pca'

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

     data(metaboliteData)
     llsRes <- nni(metaboliteData, k=6, method="llsImpute", allGenes=TRUE)

