data_generator_po_1d: Generate 1D functional data (current or legacy)

In VDPO: Working with and Analyzing Functional Data of Varying Lengths

Generate 1D functional data (current or legacy)

Description

Provides the current 1D generator while keeping access to the previous implementation via version = "legacy" for reproducibility.

Usage

data_generator_po_1d(
  n = 100,
  grid_points = 100,
  noise_sd = 0.25,
  center = TRUE,
  rsq = 0.95,
  mu = 0.1,
  univariate = TRUE,
  response_type = c("gaussian", "binomial"),
  linear_predictor = c("rectangular", "trapezoidal", "linear"),
  n_missing = 1,
  min_distance = NULL,
  version = c("current", "legacy"),
  ...
)

Arguments

n	Number of samples to generate.
grid_points	Number of points in the grid.
noise_sd	Standard deviation of measurement noise.
center	Whether to mean-center each curve.
rsq	Desired R-squared value for the response.
mu	Intercept term added to the linear predictor.
univariate	If TRUE, generate a single functional predictor; otherwise generate two.
response_type	Response distribution ("gaussian" or "binomial").
linear_predictor	Integration approach for the linear predictor ("rectangular", "trapezoidal", or "linear").
n_missing	Number of missing segments per curve.
min_distance	Minimum length of missing segments (defaults to one fifth of the grid length).
version	Choose "current" (default) or "legacy" implementation.
...	Additional arguments forwarded to the legacy implementation.

Value

A list containing simulated curves (noisy and noiseless), missing point indices, the coefficient functions, and the generated response.

Examples

data <- data_generator_po_1d(n = 10)
data_legacy <- data_generator_po_1d(n = 10, version = "legacy", beta_type = "trig")

VDPO documentation built on June 7, 2026, 9:08 a.m.