plotState {patterncausality} | R Documentation |
3D State Space Plot for Phase Space Reconstruction
Description
The plotState
function generates a 3D plot of the reconstructed state space for time series data with an embedding dimension of 3. It uses the scatter3D_fancy
function to create a detailed 3D scatter plot, which helps visualize the dynamics of the system in three dimensions.
Usage
plotState(statedata, ..., style = 2)
Arguments
statedata |
A matrix or data frame containing the reconstructed state space data, where each column corresponds to a different dimension. The input must have exactly 3 columns, corresponding to an embedding dimension ( |
... |
Some other settings for plot |
style |
choose a style for the 3D plot |
Value
A 3D scatter plot that visualizes the state space of the time series data. The plot provides insights into the underlying structure and behavior of the dynamical system being studied.
Examples
data(climate_indices)
state_data <- stateSpace(climate_indices$AAO, E = 3, tau = 2)
plotState(state_data,phi=20, style=1)
[Package patterncausality version 0.1.3 Index]