xytb-methods: xytb class constructor

In m2b: Movement to Behaviour Inference using Random Forest

Description

The methods to build an xytb object (see xytb-class for the class description).

Usage

xytb(object, desc, winsize, idquant, move, ...)

## S4 method for signature 'missing,missing,ANY,ANY,ANY'
xytb(desc = "null xybt object")

## S4 method for signature 'data.frame,character,ANY,ANY,ANY'
xytb(object, desc, winsize,
  idquant, move, ...)

## S4 method for signature 'data.frame,character,vector,vector,ANY'
xytb(object, desc, winsize,
  idquant, move, ...)

## S4 method for signature 'data.frame,character,vector,vector,vector'
xytb(object,
  desc = "unknow track", winsize = seq(3, 13, 2), idquant = seq(0, 1,
  0.25), move = c(5, 10), ...)

Arguments

object	a data frame with 5 columns id individual id character x longitude decimal degree y latitude decimal degree t date and time POSIXct b behaviour character
desc	vector of character describing the dataset
winsize	a numerical vector giving the length of the windows used to calculate moving standard deviation, average, mad and quantile for the speed (v), the distance (dist) and the relative angle (thetarel).
idquant	a numerical vector giving the quantiles to be calculated. For example if idquant=c(0,0.25,.5,1), the quantiles at 0% (min), 25% (first quartile), 50% (median) and 100% (max) will be calculated.
move	a numerical vector providing the shift used to computed parameters back in time. For example if move=c(5,10,100), the parameters will be shifted backward by 5, 10 and 100 locations. Optional.
...	part of the generic definition

Value

an xytb object

Methods' signature

• xytb(): generate an empty xytb object.

• xytb(data.frame,character vector): generate an xytb object with track information (only slot desc, xyt and b are computed).

• xytb(data.frame,character vector,numerical vector, numerical vector,numerical vector): generate an xytb object with track information (slots desc, xyt, b) and derived information dxyt and befdxyt. dxyt contains statistical derivatives of speed, distance and relative angle calculated on moving windows given by the winsize parameters. Statistical derivatides are standard deviation, mean, median absolute deviation and quantiles. Quantiles are defined by the idquant parameters. befdxyt contains dxyt values shifted back in time according to the move parameters.

Author(s)

Laurent Dubroca

Examples

#generate an empty xytb object
xytb()
#generate an xytb object with track information only
#track_CAGA_005 is a dataset
simplexytb<-xytb(track_CAGA_005,"a track")
#generate a complete xytb object with derived (over moving windows of 3, 5
#and 9 points, with quantile at 0, 50 and 100%) and shifted information on 10
#and 100 points
xytb<-xytb(track_CAGA_005,"a track",c(3,5,9),c(0,.5,1),c(10,100))

m2b documentation built on May 2, 2019, 10:22 a.m.