lmList                 package:lme4                 R Documentation

_L_i_s_t _o_f _l_m _O_b_j_e_c_t_s _w_i_t_h _a _C_o_m_m_o_n _M_o_d_e_l

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

     'Data' is partitioned according to the levels of the grouping
     factor 'g' and individual 'lm' fits are obtained for each 'data'
     partition, using the model defined in 'object'.

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

     lmList(formula, data, level, subset, na.action, pool)

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

 formula: For 'lmList', a linear formula object of the form 'y ~
          x1+...+xn | g'. In the formula object, 'y' represents the
          response, 'x1,...,xn' the covariates, and 'g' the grouping
          factor specifying the partitioning of the data according to
          which different 'lm' fits should be performed. The grouping
          factor 'g' may be omitted from the formula, in which case the
          grouping structure will be obtained from 'data', which must
          inherit from class 'groupedData'. 

    data: a data frame in which to interpret the variables named in
          'object'.  

   level: an optional integer specifying the level of grouping to be
          used when  multiple nested levels of grouping are present. 

  subset: an optional expression indicating which subset of the rows of
          'data' should  be  used in the fit. This can be a logical
          vector, or a numeric vector indicating which observation
          numbers are to be included, or a  character  vector of the
          row names to be included.  All observations are included by
          default.

na.action: a function that indicates what should happen when the data
          contain 'NA's.  The default action ('na.fail') causes
          'lmList' to print an error message and terminate if there are
          any incomplete observations. 

    pool: an optional logical value that is preserved as an attribute
          of the returned value.  This will be used as the default for
          'pool' in calculations of standard deviations or standard
          errors for summaries. 

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

     an object of class lmList which is a list of 'lm' objects with as
     many components as the number of groups defined by the grouping
     factor.

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

     'lm'

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

     data(Orthodont)
     fm1 <- lmList(distance ~ age | Subject, Orthodont)
     fm1

