ggjitter               package:ggplot               R Documentation

_G_r_o_b _f_u_n_c_t_i_o_n: _j_i_t_t_e_r_e_d _p_o_i_n_t_s

_D_e_s_c_r_i_p_t_i_o_n:

     Add jittered points to a plot

_U_s_a_g_e:

     ggjitter(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 is useful when plotting points with a categorical axis so to
     avoid overplotting.

     Aesthetic mappings that this grob function understands:

        *  x: x position (required)

        *  y: y position (required)

        *  size: size of the point, in mm (see 'scsize)'

        *  shape: shape of the glyph used to draw the point (see
           'scshape)'

        *  colour: point colour (see 'sccolour)'

     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:

        *  xjitter: degree of jitter in x direction, see 'jitter for
           details, defaults to 1'

        *  yjitter: degree of jitter in y direction, see 'jitter for
           details, defaults to 0'

_A_u_t_h_o_r(_s):

     Hadley Wickham <h.wickham@gmail.com>

_E_x_a_m_p_l_e_s:

     p <- ggplot(movies, aes=list(x=mpaa, y=rating))
     ggjitter(p)
     ggboxplot(ggjitter(p))
     ggboxplot(ggjitter(p), xjitter=2)
     ggboxplot(ggjitter(p), yjitter=1)

