Multiple points are plotted as "sunflowers" with multiple leaves ("petals") such that overplotting is visualised instead of accidental and invisible.
1 2 3 4 5 6 7 8 9 10 11 12 13  gsunflowerplot(x, ...)
## Default S3 method:
gsunflowerplot(x, y = NULL, number, log = "",
digits = 6L, xlab = NULL, ylab = NULL, xlim = NULL, ylim = NULL,
add = FALSE, rotate = FALSE, pch = 16, cex = 0.8, cex.fact = 1.5,
col = par("col"), bg = NA, size = 1/8, seg.col = 2, seg.lwd = 1.5,
..., grid = TRUE, col.grid = "grey90", col.acc = "white")
## S3 method for class 'formula'
gsunflowerplot(formula, data = NULL, xlab = NULL,
ylab = NULL, ..., subset, na.action = NULL, grid = TRUE,
col.grid = "grey90", col.acc = "white")

x 
numeric vector of 
... 
further arguments to 
y 
numeric vector of 
number 
integer vector of length 
log 
character indicating log coordinate scale, see

digits 
when 
xlab 
character label for x, or yaxis, respectively. 
ylab 
character label for x, or yaxis, respectively. 
xlim 

ylim 

add 
logical; should the plot be added on a previous one ?
Default is 
rotate 
logical; if 
pch 
plotting character to be used for points
( 
cex 
numeric; character size expansion of center points
(s. 
cex.fact 
numeric shrinking factor to be used for the
center points when there are flower leaves,
i.e., 
col 
colors for the plot symbols, passed to

bg 
colors for the plot symbols, passed to

size 
of sunflower leaves in inches, 1[in] := 2.54[cm]. Default: 1/8\", approximately 3.2mm. 
seg.col 
color to be used for the segments which make the
sunflowers leaves, see 
seg.lwd 
numeric; the line width for the leaves' segments. 
grid 
logical; if 
col.grid 

col.acc 

formula 
a 
data 
a data.frame (or list) from which the variables in

subset 
an optional vector specifying a subset of observations to be used in the fitting process. 
na.action 
a function which indicates what should happen
when the data contain 
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