extract_time_window: Extract time window from particle data

In FastGaSP: Fast and Exact Computation of Gaussian Stochastic Process

Extract time window from particle data

Description

Extracts a specified time window from a particle.data object while preserving all relevant tracking information and parameters. Works with both simulation and experimental data.

Usage

extract_time_window(data_obj, first_frame, last_frame)

Arguments

data_obj	An object of class particle.data.
first_frame	Integer specifying the first frame to include (must be >= 1).
last_frame	Integer specifying the last frame to include (must be less than the total number of frames).

Value

Returns a new particle.data object containing:

px_list, py_list

Position data for the selected time window

vx_list, vy_list

Velocity data for the selected time window

theta_list

Angle data if present in original object

particle_tracking

Tracking information for the selected frames (experimental data)

data_type

Original data type ("simulation" or "experiment")

n_particles

Particle counts (constant for simulation, time series for experimental)

T_time

Number of time steps in the extracted window

model, sigma_0, radius

Original model parameters (for simulation data)

D_y

Original dimension of the output space

FastGaSP documentation built on April 4, 2025, 5:16 a.m.