circular (version 0.4-95)

rose.diag: Rose Diagram

Description

Creates a rose diagram of a circular data set on the current graphics device.

Usage

rose.diag(x, pch = 16, cex = 1, axes = TRUE, shrink = 1, 
  bins = NULL, upper = TRUE, ticks = TRUE, tcl = 0.025, tcl.text = 0.125,
  radii.scale = c("sqrt", "linear"), border=NULL, col=NULL, tol = 0.04,
  uin = NULL, xlim = c(-1, 1), ylim = c(-1, 1), prop = 1, digits = 2, 
  plot.info = NULL, units = NULL, template = NULL, zero = NULL, 
  rotation = NULL, main = NULL, sub = NULL, xlab = "", ylab = "",
  add = FALSE, control.circle = circle.control(), ...)

Value

a list with information on the plot: zero, rotation and next.points.

Arguments

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.

axes

logical: if TRUE axes are plotted according to properties of x.

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

number of arcs to partition the circle with.

upper

therose diagram cells are "upper"-closed intervals.

ticks

logical: if TRUE ticks are plotted according to the value of bins.

tcl

length of the ticks.

tcl.text

the position of the axis labels.

radii.scale

make possible to choose sector radius form: square-root of relative frequency (sqrt, default) or conventional linear scale (linear).

border

the color to draw the border. The default, NULL, means to use par("fg"). Use border = NA to omit borders.

col

the color for filling the rose diagram. The default, NULL, is to leave rose diagram unfilled. color of the points. The values are recycled if needed.

tol

proportion of white space at the margins of plot.

uin

desired values for the units per inch parameter. If of length 1, the desired units per inch on the x axis.

xlim, ylim

the ranges to be encompassed by the x and y axes. Useful for centering the plot.

prop

numerical constant determining the radii of the sectors. By default, prop = 1.

digits

number of digits used to print axis values.

plot.info

an object from plot.circular that contains information on the zero, the rotation and next.points.

units

the units used in the plot. If NULL the units of the first component of 'x' is used.

template

the template of the plot. Ignored if plot.info is provided.

zero

the zero of the plot. Ignored if plot.info or template are provided.

rotation

the rotation of the plot. Ignored if plot.info or template are provided.

main, sub, xlab, ylab

title, subtitle, x label and y label of the plot.

add

add the rose diag to an existing plot.

control.circle

parameters passed to plot.default in order to draw the circle. The function circle.control is used to set the parameters.

...

further parameters passed to polygon.

Author

Claudio Agostinelli, Ulric Lund and Hiroyoshi Arai

Details

The circumference of the circle is split into groups, the number of groups specified by bins. For each group, a sector is drawn. The radii of the sectors are by default equal to the square root of the relative frequencies of observations in each group. This ensures that the area of the sector is proportional to the group frequency. The length of the radii can be controlled by varying the parameter prop. Since version 0.3-9 the intervals are on the form [a,b).

See Also

plot.circular

Examples

# Generate uniform data and create several rose diagrams.  
# Some optional parameters may be needed to optimize plots.
x <- circular(runif(50, 0, 2*pi))
rose.diag(x, bins = 18, main = 'Uniform Data')
points(x)

# Generate von Mises data and create several rose diagrams.
x <- rvonmises(n=50, mu=circular(0), kappa=5, control.circular=list(zero=pi/4))
y <- rose.diag(x, bins=18) # Points fall out of bounds.
points(x, plot.info=y, stack=TRUE)
y <- rose.diag(x, bins=18, prop=1.5, shrink=1.5) # Adjust optional parameters to fit
######## all points on plot.
points(x, plot.info=y, stack=TRUE)

# Add the rose diag to a plot
plot(x)
rose.diag(x, bins=12, add=TRUE, col=2)