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)

