ggboxplot               package:ggplot               R Documentation

_G_r_o_b _f_u_n_c_t_i_o_n: _b_o_x_p_l_o_t

_D_e_s_c_r_i_p_t_i_o_n:

     Add box and whiskers

_U_s_a_g_e:

     ggboxplot(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:

     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:

        *  'breaks':how to break up the x axis (only used if not
           already a factor)

        *  'orientation': whether boxplots should be horizontal or
           vertical. If missing will automatically decide based on
           which variable is a factor.

        *  other arguments passed 'boxplot'

_A_u_t_h_o_r(_s):

     Hadley Wickham <h.wickham@gmail.com>

_S_e_e _A_l_s_o:

     'ggquantile' for a continuous analogue of the boxplot

_E_x_a_m_p_l_e_s:

     p <- ggplot(mtcars, aesthetics=list(y=mpg, x=factor(cyl)))
     p2 <- ggplot(mtcars, aesthetics=list(x=mpg, y=factor(cyl)))
     ggpoint(p)
     ggboxplot(p)
     ggboxplot(p2)
     ggboxplot(p, fill="pink", colour="green")
     ggpoint(ggboxplot(p))
     ggboxplot(p)

