Dim.corSpatial             package:nlme             R Documentation

_D_i_m_e_n_s_i_o_n_s _o_f _a _c_o_r_S_p_a_t_i_a_l _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     if 'groups' is missing, it returns the 'Dim' attribute of
     'object'; otherwise, calculates the dimensions associated with the
     grouping factor.

_U_s_a_g_e:

     ## S3 method for class 'corSpatial':
     Dim(object, groups, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'corSpatial', representing a
          spatial correlation structure.

  groups: an optional factor defining the grouping of the observations;
          observations within a group are correlated and observations
          in different groups are uncorrelated.

     ...: further arguments to be passed to or from methods.

_V_a_l_u_e:

     a list with components: 

       N: length of 'groups'

       M: number of groups

 spClass: an integer representing the spatial correlation class; 0 =
          user defined class, 1 = 'corSpher', 2 = 'corExp', 3 =
          'corGaus', 4 = 'corLin'

sumLenSq: sum of the squares of the number of observations per group

     len: an integer vector with the number of observations per group

   start: an integer vector with the starting position for the distance
          vectors in each group, beginning from zero

_A_u_t_h_o_r(_s):

     Jose Pinheiro Jose.Pinheiro@pharma.novartis.com and Douglas Bates
     bates@stat.wisc.edu

_S_e_e _A_l_s_o:

     'Dim', 'Dim.corStruct'

_E_x_a_m_p_l_e_s:

     Dim(corGaus(), getGroups(Orthodont))

     cs1ARMA <- corARMA(0.4, form = ~ 1 | Subject, q = 1)
     cs1ARMA <- Initialize(cs1ARMA, data = Orthodont)
     Dim(cs1ARMA)