gggroup                package:ggplot                R Documentation

_G_r_o_b _f_u_n_c_t_i_o_n: _g_r_o_u_p_s

_D_e_s_c_r_i_p_t_i_o_n:

     Create multiple of grobs based on id aesthetic.

_U_s_a_g_e:

     gggroup(plot = .PLOT, aesthetics=list(), ..., data=plot$data)

_A_r_g_u_m_e_n_t_s:

    plot: the plot object to modify

aesthetics: named list of aesthetic mappings, see details for more
          information

     ...: other options, see details for more information

    data: data source, if not specified the plot default will be used

_D_e_t_a_i_l_s:

     This grob function provides a general means of creating multiple
     grobs based on groups in the data.  This is useful if you want to
     fit a separate smoother for each group in the data.

     You will need an id variable in your aesthetics list with
     determines how the data is broken down.

     Aesthetic mappings that this grob function understands:

        *  x: x position (required)

        *  y: y position (required)

        *  id:

        *  any other grobs used by the grob function you choose

     These can be specified in the plot defaults (see 'ggplot') or in
     the 'aesthetics' argument.  If you want to modify the position of
     the points or any axis options, you will need to add a position
     scale to the plot.  These functions start with 'ps', eg.
     'pscontinuous' or 'pscategorical'

     Other options:

        *  grob: grob function to use for subgroups

        *  anything else used by the grob function you choose

_A_u_t_h_o_r(_s):

     Hadley Wickham <h.wickham@gmail.com>

_E_x_a_m_p_l_e_s:

     p <- ggplot(mtcars, aesthetics=list(y=wt, x=qsec, id=cyl, colour=cyl))
     gggroup(p)
     gggroup(ggpoint(p), grob=grob_smooth, se=FALSE, span=1)
     gggroup(ggpoint(p), aes=list(id=cyl, size=cyl), grob=grob_smooth, span=1)

