sunflowerplot              package:base              R Documentation

_P_r_o_d_u_c_e _a _S_u_n_f_l_o_w_e_r _S_c_a_t_t_e_r _P_l_o_t

_D_e_s_c_r_i_p_t_i_o_n:

     Multiple points are plotted as ``sunflowers'' with multiple leaves
     such that overplotting is visualized instead of accidental and
     invisible.

_U_s_a_g_e:

     sunflowerplot(x, y = NULL, number, log = "", digits = 6,
                  xlab = NULL, ylab = NULL, xlim = NULL, ylim = NULL,
                  add = FALSE, rotate = FALSE,
                  pch = 16, cex = 0.8, cex.fact = 1.5,
                  size = 1/8, seg.col = 2, seg.lwd = 1.5, ...)

_A_r_g_u_m_e_n_t_s:

       x: numeric vector of `x'-coordinates of length `n', say, or
          another valid plotting structure, as for `plot.default', see
          also `xy.coords'.

       y: numeric vector of `y'-coordinates of length `n'.

  number: integer vector of length `n'. `number[i]' = number of
          replicates for `(x[i],y[i])', may be 0.
          Default: compute the exact multiplicity of the points
          `x[],y[]'.

     log: character indicating log coordinate scale, see
          `plot.default'.

  digits: when `number' is computed (i.e., not specified), `x' and `y'
          are rounded to `digits' significant digits before
          multiplicities are computes.

xlab,ylab: character label for x-, or y-axis, respectively.

xlim,ylim: `numeric(2)' limiting the extents of the x-, or y-axis.

     add: logical; should the plot be added on a previous one ? Default
          is `FALSE'.

  rotate: logical; if `TRUE', randomly rotate the sunflowers
          (preventing artefacts).

     pch: plotting character to be used for points (`number[i]==1') and
          center of sunflowers.

     cex: numeric; character size expansion of center points (s.
          `pch').

cex.fact: numeric shrinking factor to be used for the center points
          when there are flower leaves, i.e. `cex / cex.fact' is used
          for these.

    size: of sunflower leaves in inches, 1[in] := 2.54[cm]. Default:
          1/8\" ~= 3.2mm.

 seg.col: color to be used for the segments which make the sunflowers
          leaves, see `par(col=)'; `col = "gold"' reminds of real
          sunflowers.

 seg.lwd: numeric; the line width for the leaves' segments.

     ...: Further arguments to `plot(..)' [if `add=FALSE'].

_D_e_t_a_i_l_s:

     For `number[i]==1', a (slightly enlarged) usual plotting symbol
     (`pch') is drawn. For `number[i] > 1', a small plotting symbol is
     drawn and `number[i]' equi-angular ``rays'' emanate from it.

     If `rotate=TRUE' and `number[i] >= 2', a random direction is
     chosen (instead of the y-axis) for the first ray.  The goal is to
     `jitter' the orientations of the sunflowers in order to prevent
     artefactual visual impressions.

_V_a_l_u_e:

     A list with three components of same length, 

       x: x coordinates

       y: y coordinates

  number: number

_S_i_d_e _E_f_f_e_c_t_s:

     A scatter plot is drawn with ``sunflowers'' as symbols.

_A_u_t_h_o_r(_s):

     Andreas Ruckstuhl, Werner Stahel, Martin Maechler, Tim Hesterberg,
     1989-1993.  Port to R by Martin Maechler
     maechler@stat.math.ethz.ch.

_R_e_f_e_r_e_n_c_e_s:

     Chambers, J. M., Cleveland, W. S., Kleiner, B. and Tukey, P. A.
     (1983) Graphical Methods for Data Analysis.  Wadsworth.

     Schilling, M. F. and Watkins, A. E. (1994) A suggestion for
     sunflower plots. The American Statistician, 48, 303-305.

_S_e_e _A_l_s_o:

     `density'

_E_x_a_m_p_l_e_s:

     data(iris)
     ## `number' is computed automatically:
     sunflowerplot(iris[, 3:4])
     ## Imitating  Chambers et al., p.109, closely:
     sunflowerplot(iris[, 3:4],cex=.2, cex.f=1, size=.035, seg.lwd=.8)

     sunflowerplot(x=sort(2*round(rnorm(100))), y= round(rnorm(100),0),
                  main = "Sunflower Plot of Rounded N(0,1)")

     ## A `point process' {explicit `number' argument}:
     sunflowerplot(rnorm(100),rnorm(100), number=rpois(n=100,lambda=2),
                             rotate=TRUE, main="Sunflower plot")

