| points.circular {circular} | R Documentation |
Add points to a plot of circular data points on the current graphics device.
points.circular(x, pch = 16, cex = 1, stack = FALSE, sep = 0.025, shrink = 1,
bins = NULL, col = NULL, next.points = NULL, plot.info = NULL, zero = NULL,
rotation = NULL, ...)
x |
a vector, matrix or data.frame. The object is coerced to class circular. |
pch |
point character to use. See help on par. |
cex |
point character size. See help on par. |
stack |
logical: if TRUE, points are stacked on the perimeter of the circle. Otherwise, all points are plotted on the perimeter of the circle. Default is FALSE. |
sep |
constant used to specify the distance between stacked points,
if stack==TRUE or in the case of more than one dataset. Default is 0.025; smaller values will create smaller spaces. |
shrink |
parameter that controls the size of the plotted circle. Default is 1. Larger values shrink the circle, while smaller values enlarge the circle. |
bins |
if stack==TRUE, bins is the number of arcs to partition the circle with. |
col |
color of the points. The values are recycled if needed. |
next.points |
if stack=FALSE, the distance from the circle
the next dataset is plotted. Ingored if plot.info is provided. |
plot.info |
an object from plot.circular that
contains information on the zero, the rotation and next.points. |
zero |
the zero of the plot. Ignored if plot.info is provided. |
rotation |
the rotation of the plot. Ignored if plot.info is provided. |
... |
futher parameters passed to points.default. |
When there are many closely distributed observations, stacking is
recommended. When stacking the points, if there are many points in a particular bin, it may be necessary to shrink the plot of the circle so that all points fit. This is controlled with the parameter shrink. Generally the parameter sep does not need adjustment, however, when shrinking the plot, or for a very large number of observations, it may be helpful.
A list with information on the plot: zero, rotation and next.points.
Claudio Agostinelli
plot.circular and lines.circular.
data.1 <- rvonmises(n=100, mu=circular(0), kappa=3) data.2 <- rvonmises(n=100, mu=circular(pi/3), kappa=3) res <- plot(data.1, stack=FALSE, col=1) points(data.2, plot.info=res, col=2)