add_motif: Add Motif to Base Curve
In funMoDisco: Motif Discovery in Functional Data

add_motif

R Documentation

Add Motif to Base Curve

Description

This function adds specified motifs to a base curve, adjusting coefficients and applying noise as needed. It also computes the signal-to-noise ratio (SNR) for the motifs.

Usage

add_motif(
  base_curve,
  mot_pattern,
  mot_len,
  dist_knots,
  mot_order,
  mot_weights,
  noise_str,
  only_der,
  coeff_min_shift,
  coeff_max_shift
)

Arguments

`base_curve`	A list representing the base curve structure with coefficients and basis.
`mot_pattern`	A data frame containing information about the motif patterns to add.
`mot_len`	A matrix specifying the lengths of the motifs.
`dist_knots`	A numeric value indicating the distance between knots for the motifs.
`mot_order`	An integer specifying the order of the B-spline for the motifs.
`mot_weights`	A list of numeric vectors containing weights for each motif.
`noise_str`	A list of structures defining the noise to be added to motifs.
`only_der`	A logical value indicating whether to add only derivatives.
`coeff_min_shift`	A numeric value for the minimum shift to apply to coefficients.
`coeff_max_shift`	A numeric value for the maximum shift to apply to coefficients.