circular (version 0.4-93)

intersect.modal.region: Intersection between model region and a given interval.

Description

Find an estimates of the probability of the intersection between a modal region and a given interval.

Usage

intersect.modal.region(x, ...)
# S3 method for default
intersect.modal.region(x, ...)
# S3 method for circular
intersect.modal.region(x, breaks, z = NULL, q = 0.95, bw,
  adjust = 1, type = c("K", "L"), kernel = c("vonmises", "wrappednormal"),
  na.rm = FALSE, step = 0.01, eps.lower = 10^(-4), eps.upper = 10^(-4), ...)

Arguments

x

numeric or an object of class circular.

breaks

a matrix with two columns. Each row specifies a sub-interval.

z

numeric or object of class circular. The grid were the kernel density estimate will be evaluated. If NULL equally spaced points in the interval [0,2*pi) with step step.

q

numeric in the interval [0,1]. The quantile of the modal region.

bw

the smoothing bandwidth to be used. When the kernel is vonmises the bandwidth is equal to the concentration parameter.

adjust

the bandwidth used is actually adjust*bw. This makes it easy to specify values like ``half the default bandwidth''.

type

Not Yet Used.

kernel

a character string giving the smoothing kernel to be used. This must be one of "vonmises" or "wrappednormal", that are kernels of type "K".

na.rm

logical; if TRUE, missing values are removed from x. If FALSE any missing values cause an error.

step

numeric. Used in the construction of the regular grid z.

eps.lower,eps.upper

the cut point in the density is searched in the interval [min(density)*(1+eps.lower),max(density)*(1-eps.upper)].

…

further arguments passed to the next methods.

Value

For the circular method a list with the following three components

tot

the total area.

areas

information for each subinterval.

breaks

the extremes of each subinterval.

Details

Only the version for circular data is actually implemented.

See Also

modal.region

Examples

# NOT RUN {
  x <- rvonmises(100, circular(pi), 10)  
  res <- intersect.modal.region(x, breaks=circular(matrix(c(pi,pi+pi/12,
    pi-pi/12, pi), ncol=2, byrow=TRUE)), bw=50)
  res$tot

  x <- rvonmises(100, circular(0), 10)
  res <- intersect.modal.region(x, breaks=circular(matrix(c(pi,pi+pi/12),
    ncol=2)), bw=50)
  res$tot
  
  res <- intersect.modal.region(x, breaks=circular(matrix(c(pi/12,
    2*pi-pi/12), ncol=2, byrow=TRUE)), bw=50)
  res$tot
# }