ggquantile              package:ggplot              R Documentation

_G_r_o_b _f_u_n_c_t_i_o_n: _q_u_a_n_t_i_l_e_s

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

     Add quantile lines from a quantile regression

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

     ggquantile(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 can be used a continuous analogue of a boxplot (see
     'grob_boxplot') Lines will be automatically sized to reflect their
     distance from the median.

     Aesthetic mappings that this grob function understands:

        *  x: x position (required)

        *  y: y position (required)

     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:

        *  quantiles: quantiles to display

        *  formula: formula to use in quantile regression

        *  colour: colour of lines

_A_u_t_h_o_r(_s):

     Hadley Wickham <h.wickham@gmail.com>

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

     'rq' for the code used to fit the quantile regression

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

     m <- ggplot(movies, aesthetics=list(y=length, x=rating))
     ggquantile(gghexagon(m))

