LICORS: LC-utils – R documentation

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LC-utils

Utilities for LC class

Description

The "LC" class is the core property of the LICORS model as it specifies the spatio-temporal neighborhood of the past and future light cone. The function setup_LC_geometry generates an instance of the "LC" class.

plot.LC plots LCs of (1+1)D and (2+1)D systems with respect to the origin (\mathbf{r}, t) = (\boldsymbol 0, 0). This is especially useful for a quick check if the LC geometry specified by setup_LC_geometry is really the intended one.

summary.LC prints a summary of the LC geometry. Returns (invisible) the summary matrix.

LC_coordinates2control_setting computes auxiliary measures given the LC geometry such as horizon, spatial/temporal extension, etc. This function should not be called by the user directly; only by get_spacetime_grid.

Usage

## S3 method for class 'LC'
plot(x, cex.axis = 2, cex.lab = 2, ...)

## S3 method for class 'LC'
summary(object, verbose = TRUE, ...)

LC_coordinates2control_settings(LC.coordinates)

Arguments

`x`	an object of class `"LC"` (see `setup_LC_geometry`)
`cex.axis`	The magnification to be used for axis annotation relative to the current setting of `cex`.
`cex.lab`	The magnification to be used for x and y labels relative to the current setting of `cex`.
`...`	optional arguments passed to `plot`.
`object`	an object of class `"LC"`
`verbose`	logical; if `TRUE` LC information is printed in the console
`LC.coordinates`	template of a light cone (with respect to origin)

Examples

aa <- setup_LC_geometry(horizon = list(PLC = 2, FLC = 1), speed = 1, space.dim = 1, 
    shape = "cone")
plot(aa)
bb <- setup_LC_geometry(horizon = list(PLC = 2, FLC = 1), speed = 1, space.dim = 1, 
    shape = "revcone")
plot(bb)
aa <- setup_LC_geometry(horizon = list(PLC = 2, FLC = 0), speed = 1, space.dim = 1, 
    shape = "cone")
summary(aa)
aa <- setup_LC_geometry(horizon = list(PLC = 2, FLC = 0), speed = 1, space.dim = 1, 
    shape = "cone")
LC_coordinates2control_settings(aa$coordinates)

LICORS

Light Cone Reconstruction of States - Predictive State Estimation From Spatio-Temporal Data

v0.2.0

GPL-2

Authors

Georg M. Goerg <gmg@stat.cmu.edu>

Initial release

2013-11-20