plot4M: Plot objects of class 'Data4M' or 'Model4M'.

In lawlerem/markmodmover: Analyze animal movement data using the Markov-modulated movement model.

Description

Plot objects of class Data4M or Model4M.

Usage

## S4 method for signature 'Data4M,character'
plot(x, y, ask = interactive(),
  Viterbi.Path = NA, N.States = 0, h = 0.25, ...)

## S4 method for signature 'Model4M,character'
plot(x, y, h = 0.25, ask = interactive(),
  palette = "Set1", ...)

Arguments

x	An object of class Data4M or Model4M.
y	A character vector choosing which plots to draw. Can be any combination of all, satellite, locations, data, and residuals. Defaults to all.
ask	Wait for input to switch to next plot?
Viterbi.Path	State path used to color locations. Not typically entered by the user.
N.States	The number of states used in the model. Not typically entered by the user.
h	Vector of bandwidth for residual density plots. See kde2d.
...	Optional arguments used to control internal plotting functions, such as pch or main. Other useful arguments include... lag For data lag-plot, which time lag should be used? Defaults to 1. log For data lag-plot, should the log of step lengths be used? Defaults to FALSE. N.Grid.Lines How many grid lines should be used for each axis in the mesh for the data plots? Defaults to 100. N.Greys What greyscale depth to use for density plots of the data. Defaults to 25.
palette	If using package RColorBrewer and not supplying col, the palette to use for colors.

Examples

sealdata<- data4M(greyseal)
sealdata<- interpolate(sealdata,Time.Step = 1)
plot(sealdata,ask = F)
plot(sealdata,"data",log = T,lag = 2,N.Grid.Lines = 150,N.Greys = 30)
plot(sealdata,"locations",pch = 11,lty = 4,col = "red")

seal4M3<- fit(sealdata,N.States = 3)
plot(seal4M3,ask = F)
plot(seal4M3,"residuals")

library(RColorBrewer)
plot(seal4M3,"locations",palette = "Dark2")

lawlerem/markmodmover documentation built on Feb. 12, 2020, 8:30 p.m.