plotConvergence: plotConvergence

Description Usage Arguments

View source: R/plotConvergence.R

Description

Plots the evolution of the standard deviations of either the Lyapunov exponents or the Kaplan-Yorke dimension

Usage

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plotConvergence(nVar, outL, plotType = "exp", xlim = NULL,
  ylim = NULL, lastIter = NULL, dt = NULL, expList = NULL,
  legend = FALSE)

Arguments

nVar

Model dimension

outL

An input list issued from the FDLyapu algorithm updated at each call, with outL$t the time vector, outL$LyapExp the mean Lyapunov exponents outL$LyapExpLoc the local Lyapunov exponents, outL$DkyLoc the mean Kaplan-Yorke dimension. outL$DkyLoc the local Kaplan-Yorke dimension.

plotType

If equals to "exp" the Lyapunov exponents are plotted. Otherwise the Kaplan-Yorke dimension is plotted

xlim

The limits used for the x-axis. If NULL it is automatically adjusted to the minimum and maximum data values

ylim

The limits used for the u-axis. If NULL it is automatically adjusted to the minimum and maximum data values

lastIter

If not NULL indicates the last iterations used for the plot.

dt

Integration time step

expList

Indicates which exponents have to be plotted. If NULL all are plotted otherwise must be a vector of booleans

legend

Indicates if the legend has to appear (TRUE) or not (FALSE)


GPoM.FDLyapu documentation built on Aug. 29, 2019, 5:05 p.m.