densityFit: Fits von Mises kernel density to time-of-day data.
Description
Fits von Mises kernel density to time-of-day data. Intended primarily for internal use: input checking is minimal.
Usage
densityFit(x, grid, bw)
Value
Returns a vector of densities corresponding to the times in grid.
Arguments
x
a vector of times of observations in radians, ie. scaled to [\(0, 2\pi\)].
grid
a vector of times in radians for which the density is required. This could be a vector of equidistant values in [\(0, 2\pi\)], eg. seq(0, 2*pi, length=128), or it could be any set of times for which a density is needed.
bw
bandwidth, the concentration parameter for the von Mises kernel: smaller values result in smoother curves.
# Get example data:data(simulatedData)
densityFit(tigerObs, c(0, pi/2, pi, 3*pi/2, 2*pi), 50)
# Densities at 6am and 6pm are fairly high, at midnight and midday, tiny.# A crepuscular species!