plot.cope: Plots CoPE sets.

In cope: Coverage Probability Excursion (CoPE) Sets

Description

Plots CoPE sets.

Usage

## S3 method for class 'cope'
plot(x, ..., taylor = FALSE, use.true.function = FALSE,
  colc = "purple", lwdc = 3, ltyc = 1, colp = "darkred", lwdp = 3,
  ltyp = 1, colm = "darkgreen", lwdm = 3, ltym = 1,
  conlist = list(drawlabels = FALSE))

Arguments

x	An object of class cope to be plotted.
...	Additional graphical parameters passed to fields::image.plot.
taylor	Boolean indicating whether the CoPE sets with the threshold obtained by Taylor's method should be plotted. Default is FALSE.
use.true.function	Boolean indicating whether the threshold obtained from the true function should be used. Default is FALSE.
colc	Color of contour line for A_c.
lwdc	Width of contour line for A_c.
ltyc	Type of contour line for A_c.
colp	Color of contour line for \hat{A}^{+}_c.
lwdp	Width of contour line for \hat{A}^{+}_c.
ltyp	Type of contour line for \hat{A}^{+}_c.
colm	Color of contour line for \hat{A}^{-}_c.
lwdm	Width of contour line for \hat{A}^{-}_c.
ltym	Type of contour line for \hat{A}^{-}_c.
conlist	A list of additional arguments to pass to the contour function. By default, the contour labels are not shown.

References

M. Sommerfeld, S. Sain and A. Schwartzman. Confidence regions for excursion sets in asymptotically Gaussian random fields, with an application to climate. Preprint, 2015.

Examples

# An example using the ToyNoise and ToySignal of this package.
## Not run: 
n = 30
Data = ToyNoise1(n = n)
Data$z = Data$z + rep(ToySignal()$z, n)
CopeSet = ComputeCope(Data, level=4/3, mu=ToySignal()$z)
plot(CopeSet)
## End(Not run)

Example output

Loading required package: maps
# This package was created for research supported by NIH Grant R01 CA157528

cope documentation built on May 2, 2019, 6:32 a.m.