x: Data to be plotted. A numeric vector containing angles (in degrees).
weights: Optional vector of numeric weights associated with x.
binwidth: The width of the bins (in degrees).
bins: number of arcs to partition the circle width. Overridden by binwidth.
axial: Logical. Whether data are uniaxial (axial=FALSE) or biaxial (TRUE, the default).
equal_area: Logical. Whether the radii of the bins are proportional to the frequencies (equal_area=FALSE, i.e. equal-angle) or proportional to the square-root of the frequencies (equal_area=TRUE, the default).
muci: logical. Whether the mean and its 95% CI are added to the plot or not.
round_binwidth: integer. Number of decimal places of bin width (0 by default).
mtext: character. String to be drawn at the top margin of the plot ("N" by default)
main, sub: Character string specifying the title and subtitle of the plot. If sub = NULL, it will show the bin width.
at: Optional vector of angles at which tick marks should be plotted. Set at=numeric(0) to suppress tick marks.
cborder: logical. Border of rose plot.
labels: Either a logical value indicating whether to plot labels next to the tick marks, or a vector of labels for the tick marks.
col: fill color of bins
dots: logical. Whether a circular dot plot should be added (FALSE is the default).
dot_cex, dot_pch, dot_col: Plotting arguments for circular dot plot
stack: logical. Groups and stacks the dots if TRUE. Default is FALSE.
jitter_factor: Add a small amount of noise to the angles' radius that is added to scale. Jitter is ignored when stack==TRUE). If 0, no jitter is added (by default); if negative, the points fall into the circle.
grid: logical. Whether to add a grid. Default is FALSE.
grid.lines, grid.circles: numeric. Adds a sequence of straight grid lines and circles based on angles and radii, respectively. Ignored when grid=FALSE
add: logical.
...: Additional arguments passed to spatstat.explore::rose().
Returns
A window (class "owin") containing the plotted region or a list
of the calculated frequencies.
Note
If bins and binwidth are NULL, an optimal bin width will be calculated using Scott (1979):
wb=n31R
with n being the length of x, and the range R being either 180 or 360 degree for axial or directional data, respectively.
If "axial" == TRUE, the binwidth is adjusted to guarantee symmetrical fans.
Examples
x <- rvm(100, mean =90, k =5)rose(x, axial =FALSE, border =TRUE, grid =TRUE)data("san_andreas")rose(san_andreas$azi, main ="equal area")rose(san_andreas$azi, equal_area =FALSE, main ="equal angle")# weighted frequencies:rose(san_andreas$azi, weights =1/ san_andreas$unc, main ="weighted")# add dots:rose(san_andreas$azi, dots =TRUE, main ="dot plot", jitter =.2)# stack dots:rose(san_andreas$azi, dots =TRUE, stack =TRUE, dot_cex =0.5, dot_pch =21, main ="stacked dot plot")