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# This program is free software; you can redistribute it and/or modify
# it under the terms of the GNU General Public License as published by
# the Free Software Foundation; either version 2, or (at your option)
# any later version.
#
# This program is distributed in the hope that it will be useful, but
# WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# General Public License for more details.
#
# A copy of the GNU General Public License is available via WWW at
# http://www.gnu.org/copyleft/gpl.html. You can also obtain it by
# writing to the Free Software Foundation, Inc., 59 Temple Place,
# Suite 330, Boston, MA 02111-1307 USA.
# Copyrights (C)
# for this R-port:
# 1999 - 2007, Diethelm Wuertz, GPL
# Diethelm Wuertz <wuertz@itp.phys.ethz.ch>
# info@rmetrics.org
# www.rmetrics.org
# for the code accessed (or partly included) from other R-ports:
# see R's copyright and license files
# for the code accessed (or partly included) from contributed R-ports
# and other sources
# see Rmetrics's copyright file
################################################################################
# FUNCTION: PHASE SPACE REPRESENTATION:
# mutualPlot Creates mutual information plot
# falsennPlot Creates false nearest neigbours plot
# FUNCTION: NON STATIONARITY:
# recurrencePlot Creates recurrence plot
# separationPlot Creates space-time separation plot
# FUNCTION: LYAPUNOV EXPONENTS:
# lyapunovPlot Maximum Lyapunov plot
################################################################################
test.mutualPlot =
function()
{
# Mutual Information Index:
par(mfrow = c(1, 1))
lorentz = lorentzSim(
times = seq(0, 40, by = 0.01),
parms = c(sigma = 16, r = 45.92, b = 4),
start = c(-14, -13, 47),
doplot = FALSE)
mutualPlot(x = lorentz[, 2], partitions = 16, lag.max = 20, doplot = TRUE)
# Return Value:
return()
}
# ------------------------------------------------------------------------------
test.falsennPlot =
function()
{
# False Nearest Neighbours:
par(mfrow = c(1, 1))
roessler = roesslerSim(
times = seq(0, 100, by = 0.01),
parms = c(a = 0.2, b = 0.2, c = 8),
start = c(-1.894, -9.92, 0.025),
doplot = FALSE)
falsennPlot(x = roessler[, 2], m = 6, d = 8, t = 180, eps = 1, rt = 3)
abline(h = 0, col = "grey")
grid()
# Return Value:
return()
}
# ------------------------------------------------------------------------------
test.recurrencePlot =
function()
{
# Recurrence Plot:
par(mfrow = c(2, 2), cex = 0.7)
lorentz = lorentzSim(
times = seq(0, 40, by = 0.01),
parms = c(sigma = 16, r = 45.92, b = 4),
start = c(-14, -13, 47),
doplot = FALSE)
recurrencePlot(lorentz[, 2], m = 3, d = 2, end.time = 800, eps = 3,
nt = 5, pch = '.', cex = 2)
recurrencePlot(lorentz[, 3], m = 3, d = 2, end.time = 800, eps = 3,
nt = 5, pch = '.', cex = 2)
recurrencePlot(lorentz[, 4], m = 3, d = 2, end.time = 800, eps = 3,
nt = 5, pch = '.', cex = 2)
# Return Value:
return()
}
# ------------------------------------------------------------------------------
test.separationPlot =
function()
{
# Separation Plot:
par(mfrow = c(1, 1))
roessler = roesslerSim(
times = seq(0, 100, by = 0.01),
parms = c(a = 0.2, b = 0.2, c = 8),
start = c(-1.894, -9.92, 0.025),
doplot = FALSE)
separationPlot(roessler[, 2], m = 3, d = 8, idt = 1, mdt = 250)
# Return Value:
return()
}
################################################################################
test.lyapunovPlot =
function()
{
# Lyapunov Plot:
NA
# Return Value:
return()
}
################################################################################
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