turnLiftStepHist: Three dimensional histogram

In munterfi/eRTG3D: Empirically Informed Random Trajectory Generation in 3-D

Description

Derives a three dimensional distribution of a turn angle, lift angle and step length, using the Freedman–Diaconis rule for estimating the number of bins.

Usage

turnLiftStepHist(
  turn,
  lift,
  step,
  printDims = TRUE,
  rm.zeros = TRUE,
  maxBin = 25
)

Arguments

turn	numeric vector of turn angles
lift	numeric vector of lift angles
step	numeric vector of step lengths
printDims	logical: should dimensions of tld-Cube be messaged?
rm.zeros	logical: should combinations with zero probability be removed?
maxBin	numeric scalar, maximum number of bins per dimension of the tld-cube.

Value

A three dimensional histogram as data.frame

Examples

niclas <- track.properties.3d(niclas)[2:nrow(niclas), ]
turnLiftStepHist(niclas$t, niclas$l, niclas$d)

munterfi/eRTG3D documentation built on Feb. 25, 2022, noon