rose(x, ...)## S3 method for class 'default':
rose(x, breaks = NULL, \dots, nclass = NULL,
unit = c("degree", "radian"), main)
## S3 method for class 'histogram':
rose(x, \dots,
unit = c("degree", "radian"), main,
do.plot = TRUE)
## S3 method for class 'density':
rose(x, \dots,
unit = c("degree", "radian"), main,
do.plot = TRUE)
## S3 method for class 'fv':
rose(x, \dots,
unit = c("degree", "radian"), main,
do.plot = TRUE)
histogram object containing a histogram of
angular values, or a density object containing a
smooth density estimate for angular data,
or an fvhist to determine
the histogram breakpoints."owin") containing the plotted region. The function rose is generic, with a default method
for numeric data, and methods for histograms and function tables.
If x is a numeric vector, it must contain angular values
in the range 0 to 360 (if unit="degree")
or in the range 0 to 2 * pi (if unit="radian").
A histogram of the data will first be computed using
hist. Then the rose diagram of this histogram
will be plotted by rose.histogram.
If x is an object of class "histogram" produced by
the function hist, representing the histogram
of angular data, then the rose diagram of the densities
(rather than the counts) in this histogram object will be plotted.
If x is an object of class "density" produced by
circdensity or density.default,
representing a kernel smoothed density estimate of angular data,
then the rose diagram of the density estimate will be plotted.
If x is a function value table (object of class "fv")
then the argument of the function will be interpreted as an angle,
and the value of the function will be interpreted as the radius.
fv, hist,
circdensity,
density.default.ang <- runif(1000, max=360)
rose(ang, col="grey")Run the code above in your browser using DataLab