ranef.lmList              package:nlme              R Documentation

_E_x_t_r_a_c_t _l_m_L_i_s_t _R_a_n_d_o_m _E_f_f_e_c_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     The difference between the individual 'lm' components coefficients
     and their average is calculated.

_U_s_a_g_e:

     ## S3 method for class 'lmList':
     ranef(object, augFrame, data, which, FUN, standard,
                      omitGroupingFactor, ...)

_A_r_g_u_m_e_n_t_s:

  object: an object inheriting from class 'lmList', representing a list
          of 'lm' objects with a common model. 

augFrame: an optional logical value. If 'TRUE', the returned data frame
          is augmented with variables defined in 'data'; else, if
          'FALSE', only the coefficients are returned. Defaults to
          'FALSE'.

    data: an optional data frame with the variables to be used for
          augmenting the returned data frame when 'augFrame = TRUE'.
          Defaults to the data frame used to fit 'object'.

   which: an optional positive integer vector specifying which columns
          of 'data' should be used in the augmentation of the returned
          data frame. Defaults to all columns in 'data'.

     FUN: an optional summary function or a list of summary functions
          to be applied to group-varying variables, when collapsing
          'data' by groups.  Group-invariant variables are always
          summarized by the unique value that they assume within that
          group. If 'FUN' is a single function it will be applied to
          each non-invariant variable by group to produce the summary
          for that variable.  If 'FUN' is a list of functions, the
          names in the list should designate classes of variables in
          the frame such as 'ordered', 'factor', or 'numeric'.  The
          indicated function will be applied to any group-varying
          variables of that class.  The default functions to be used
          are 'mean' for numeric factors, and 'Mode' for both 'factor'
          and 'ordered'.  The 'Mode' function, defined internally in
          'gsummary', returns the modal or most popular value of the
          variable.  It is different from the 'mode' function that
          returns the S-language mode of the variable.

standard: an optional logical value indicating whether the estimated
          random effects should be "standardized" (i.e. divided by the
          corresponding estimated standard error). Defaults to 'FALSE'.

omitGroupingFactor: an optional logical value.  When 'TRUE' the
          grouping factor itself will be omitted from the group-wise
          summary of 'data' but the levels of the grouping factor will
          continue to be used as the row names for the returned data
          frame. Defaults to 'FALSE'.

     ...: some methods for this generic require additional arguments. 
          None are used in this method.

_V_a_l_u_e:

     a vector with the differences between the individual 'lm'
     coefficients in 'object' and their average.

_A_u_t_h_o_r(_s):

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

_R_e_f_e_r_e_n_c_e_s:

     Pinheiro, J.C., and Bates, D.M. (2000) "Mixed-Effects Models in S
     and S-PLUS", Springer, esp. pp. 100, 461.

_S_e_e _A_l_s_o:

     'fixed.effects.lmList',  'lmList',  'random.effects'

_E_x_a_m_p_l_e_s:

     fm1 <- lmList(distance ~ age | Subject, Orthodont)
     ranef(fm1)
     random.effects(fm1)              # same as above