plot.nmGroupedData           package:nlme           R Documentation

_P_l_o_t _a_n _n_m_G_r_o_u_p_e_d_D_a_t_a _O_b_j_e_c_t

_D_e_s_c_r_i_p_t_i_o_n:

     The 'groupedData' object is summarized by the values of the
     'displayLevel' grouping factor (or the combination of its values
     and the values of the covariate indicated in 'preserve', if any is
     present). The collapsed data is used to produce a new
     'groupedData' object, with grouping factor given by the
     'displayLevel' factor, which is plotted using the appropriate
     'plot' method for 'groupedData' objects with single level of
     grouping.

_U_s_a_g_e:

     ## S3 method for class 'nmGroupedData':
     plot(x, collapseLevel, displayLevel, outer, inner,
         preserve, FUN, subset, key, grid, ...)

_A_r_g_u_m_e_n_t_s:

       x: an object inheriting from class 'nmGroupedData', representing
          a 'groupedData' object with multiple grouping factors. 

collapseLevel: an optional positive integer or character string
          indicating the grouping level to use when collapsing the
          data. Level values increase from outermost to innermost
          grouping. Default is the highest or innermost level of
          grouping. 

displayLevel: an optional positive integer or character string
          indicating the grouping level to use for determining the
          panels in the Trellis display, when 'outer' is missing.
          Default is 'collapseLevel'. 

   outer: an optional logical value or one-sided formula, indicating
          covariates that are outer to the 'displayLevel' grouping
          factor, which are used to determine the panels of the Trellis
          plot. If equal to 'TRUE', the 'displayLevel' element
          'attr(object, "outer")' is used to indicate the  outer
          covariates. An outer covariate is invariant within the sets
          of rows defined by the grouping factor.  Ordering of the
          groups is done in such a way as to preserve adjacency of
          groups with the same value of the outer variables. Defaults
          to 'NULL', meaning that no outer covariates are to be used. 

   inner: an optional logical value or one-sided formula, indicating a
          covariate that is inner to the 'displayLevel' grouping
          factor, which is used to associate points within each panel
          of the Trellis plot. If equal to 'TRUE', 'attr(object,
          "outer")' is used to indicate the inner covariate. An inner
          covariate can change within the sets of rows defined by the
          grouping  factor. Defaults to 'NULL', meaning that no inner
          covariate  is present.   

preserve: an optional one-sided formula indicating a covariate whose
          levels should be preserved when collapsing the data according
          to the 'collapseLevel' grouping factor. The collapsing factor
          is obtained by pasting together the levels of the
          'collapseLevel' grouping factor and the values of the
          covariate to be preserved. Default is 'NULL', meaning that no
          covariates need to be preserved. 

     FUN: an optional summary function or a list of summary functions
          to be used for collapsing the data.  The function or
          functions are applied only to variables in 'object' that vary
          within the groups defined by 'collapseLevel'.  Invariant
          variables are  always summarized by group using 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 data such as 'ordered',
          'factor', or 'numeric'.  The indicated function will be
          applied to any non-invariant 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.

  subset: an optional named list. Names can be either positive integers
          representing grouping levels, or names of grouping factors.
          Each element in the list is a vector indicating the levels of
          the corresponding grouping factor to be used for plotting the
          data. Default is 'NULL', meaning that all levels are used.

     key: an optional logical value, or list. If 'TRUE', a legend is
          included at the top of the plot indicating which symbols
          (colors) correspond to which prediction levels. If 'FALSE',
          no legend is included. If given as a list, 'key' is passed
          down as an argument to the 'trellis' function generating the
          plots ('xyplot'). Defaults to 'TRUE'.

    grid: an optional logical value indicating whether a grid should be
          added to plot. Default is 'TRUE'.

     ...: optional arguments passed to the Trellis plot function.

_V_a_l_u_e:

     a Trellis display of the data collapsed over the values of the
     'collapseLevel' grouping factor and grouped according to the
     'displayLevel' grouping factor.

_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:

     Bates, D.M. and Pinheiro, J.C. (1997), "Software Design for
     Longitudinal Data", in "Modelling Longitudinal and Spatially
     Correlated Data: Methods, Applications and Future Directions",
     T.G. Gregoire (ed.), Springer-Verlag, New York.

     Pinheiro, J.C. and Bates, D.M. (1997) "Future Directions in
     Mixed-Effects Software: Design of NLME 3.0" available at <URL:
     http://franz.stat.wisc.edu/pub/NLME>.

_S_e_e _A_l_s_o:

     'groupedData', 'collapse.groupedData', 'plot.nfnGroupedData',
     'plot.nffGroupedData'

_E_x_a_m_p_l_e_s:

     data(Pixel)
     # no collapsing, panels by Dog
     plot(Pixel, display = "Dog", inner = ~Side)
     # collapsing by Dog, preserving day
     plot(Pixel, collapse = "Dog", preserve = ~day)

