cdotplot  R Documentation 
Function cdotplot
can be used to plot 2dimensional
stacked dot plot for circular data.
cdotplot( x, nbins = 36, radius = 1, unit = NA, area.prop = TRUE, total.area = 1, m = NA, col = "lightblue", border = "skyblue4", xlim = NULL, ylim = NULL, main = NULL, x.legend = "bottomright", y.legend = NULL )
x 
a circular data object that is fully defined by the user. 
nbins 
the number of bins of the circular histogram. Internally, it is rounded to a multiple of 4. 
radius 
the radius of the reference circle. If 
unit 
the number of observations represented by each dot. If

area.prop 
logical; if 
total.area 
a positive number specifying the total area under the
density curve. If 
m 
the number of points within each bin to plot the circular dot plot. The larger the number is, the smoother the plot looks. 
col 
the color to fill the bars. 
border 
the color of the border around the bars. 
xlim 
numeric vectors of length 2, giving the x coordinates ranges. 
ylim 
numeric vectors of length 2, giving the y coordinates ranges. 
main 
the main title (on top) 
x.legend 
x coordinate to plot the legend. 
y.legend 
y coordinate to plot the legend. 
If the number of observations is relatively small, the
usual circular stacked dot plot can be used with unit = 1
.
If the dataset is large, the dots may become too dense to
visualize or count. Setting unit
to be any positive
integer to allow each dot to represent more than one observation.
If the number of observations in one bin is not a multiple of the
specified unit, a partial dot can be used to represent the
remainder at the top of the bin.
No return value
Danli Xu <dxu452@aucklanduni.ac.nz>, Yong Wang <yongwang@auckland.ac.nz>
Xu, D. and Wang, Y. (2020). Areaproportional Visualization for Circular Data. Journal of Computational and Graphical Statistics, 29, 351357.
cbarplot
, cdensity
, chist
# 30 observations from two von Mises distributions library(circular) x = c(rvonmises(10, circular(pi/4), 5), rvonmises(20, circular(pi), 20)) cdotplot(x) # areaproportional dot plot cdotplot(x, area = FALSE) # heightproportional dot plot # 900 observations from two von Mises distributions y = c(rvonmises(300, circular(pi/4), 5), rvonmises(600, circular(pi), 20)) cdotplot(y, nbins=76, unit = 10) # areaproportional (partial) dot plot cdotplot(y, nbins=76, unit = 10, area = FALSE) # heightproportional
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