CircMLE (version 0.3.0)

plot_circMLE: plot_circMLE

Description

Plot the observed data and specific model from circ_mle output

Usage

plot_circMLE(data, table, model, bins, shrink, col, lwd, lty)

Arguments

data

A vector of class 'circular'

table

A list containing the output from the circ_mle function

model

The name of the model to be plotted. (default = first model of "table")

bins

The number of bins for the circular histogram. (defualt = 18)

shrink

The value by which to shrink the size of the plotted circle. Larger numbers shrink the circle, smaller numbers expand the circle. (default = 1.5)

col

Vector of colors used for plotting, up to four colors can be specified. The order is: histogram color, mean vector color, model density color, predicted mean direction(s) color(s). (default = c("grey", "red", "black", "black"))

lwd

Vector of line weights used for plotting, up to 3 weights can be specified. The order is: mean vector weight, model density weight, predicted mean direction(s) weight(s). (default = c(2, 2, 2))

lty

Vector of line weights used for plotting, up to 3 weights can be specified. The order is: mean vector weight, model density weight, predicted mean direction(s) weight(s). (default = c("solid", "dashed", "dashed"))

Value

A plot is returned to the default image device.

Examples

# NOT RUN {
testdata = circular::rvonmises(100, mu = circular::circular(pi), kappa = 3)
out = circ_mle(testdata)
plot_circMLE(testdata, out)
plot_circMLE(testdata, out, model = "M4A")
# }