GPoM (version 1.0)

visuOutGP: visuOutGP : get a quick information of gPoMo output

Description

The algorithm aims to get a quick information about the outputs obtained with gPoMo.

Usage

visuOutGP(ogp, selecmod = NULL, id = 1, prioMinMax = "data",
  opt3D = "TRUE")

Arguments

ogp

The output list obtained from gPoMo.

selecmod

a vector of the model selected.

id

the type of model to identify. id = 1 correspond to the unidentified models, that is, potentialy chaotic models).

prioMinMax

gives the priority for the plots among: "data", "model", "dataonly" and "modelonly".

opt3D

provides a 3D plot (x,y,z) when 'TRUE' (rgl library required).

Value

A Matrix describing the terms composing each model by row. The first row corresponds to the model detection (1 unclarified, 2 diverging, 0 is fixed point, -n with n an integer, is period-n cycle' )

Examples

# NOT RUN {
# load data
data("Ross76")
# # time vector
tin <- Ross76[seq(1, 3000, by = 8), 1]
# single time series
data <- Ross76[seq(1, 3000, by = 8), 3]
dev.new()
plot(tin, data, type = 'l')
# global modelling
# results are put in list outputGPoM
outputGPoM <- gPoMo(data, tin=tin, dMax = 2, nS=c(3), show = 0,
                    nPmin = 9, nPmax = 12, method = 'rk4',
                    IstepMin = 200, IstepMax = 201)
visuOutGP(outputGPoM)

# }