Path plot of BCPA output

Share:

Description

Plots the animal's trajectory, with segments color-coded according to the time scale / auto-correlation of the BCPA output, and width of segments proportional to the estimated mean of the BCPA.

Usage

1
2
3
PathPlot(Data, windowsweep, type = c("smooth", "flat")[1], clusterwidth = 1,
  plotlegend = FALSE, tauwhere = "topleft", n.legend = 5,
  ncol.legend = 1, bty.legend = "n", ...)

Arguments

Data

the track data to be plotted - most typically, output of the GetVT function.

windowsweep

windowsweep object, i.e. the output of the WindowSweep function.

type

whether to plot smooth or flat bcpa output

clusterwidth

for flat BCPA, this is the temporal range within which change points are considered to be within the same cluster.

plotlegend

whether to plot a legend.

tauwhere

where to place the legend for the time-scale / auto-correlation. Can be one of "nowhere", "top", "bottom", "left", "right", "topleft", "topright", "bottomright", "bottomleft".

n.legend

number of labels in legend.

ncol.legend

number of columns in the legend.

bty.legend

whether to draw a box around the legend.

...

additional arguments to pass to the plot base function.

Author(s)

Eliezer Gurarie

Examples

1
2
3
4
5
6
7
8
if(!exists("Simp.ws"))
{
 data(Simp)
 Simp.ws <- WindowSweep(GetVT(Simp), "V*cos(Theta)", windowsize = 50, windowstep = 1, progress=TRUE)
}

PathPlot(Simp, Simp.ws, plotlegend=TRUE, n.legend=3)
PathPlot(Simp, Simp.ws, type="flat", clusterwidth=3, plotlegend=TRUE)