ggcontour               package:ggplot               R Documentation

_G_r_o_b _f_u_n_c_t_i_o_n: _c_o_n_t_o_u_r_s

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

     Create a grob to display contours of a 3D data set.

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

     ggcontour(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:

     Aesthetic mappings that this grob function understands:

        *  x: x position (required)

        *  y: y position (required)

        *  z: z 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:

        *  nlevels: number of contours to draw

        *  levels: contour positions

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

     Hadley Wickham <h.wickham@gmail.com>

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

     'gg2density'

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

     volcano3d <- data.frame(expand.grid(x = 1:nrow(volcano), y=1:ncol(volcano)), z=as.vector(volcano))
     p <- ggplot(volcano3d, aesthetics=list(x=x,y=y,z=z))
     ggcontour(p)
     ggcontour(p, nlevels=3)
     ggcontour(ggtile(p, list(colour=z)))

