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=NULL)

_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)

        *  'weight': observation weights

     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

_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:

     ## Not run: 
     m <- ggplot(movies, aesthetics=list(y=length, x=rating))
     ggquantile(m)
     ## End(Not run)

