dot-generate_coefficients: Generate Coefficients
In funMoDisco: Motif Discovery in Functional Data

.generate_coefficients

R Documentation

Generate Coefficients

Description

This function generates a vector of coefficients for a motif based on the specified distribution. It can sample coefficients from a numeric vector, a uniform distribution, or a beta distribution.

Usage

.generate_coefficients(
  motif_i,
  distrib,
  dist_knots,
  norder,
  coeff_min,
  coeff_max,
  motif_seed
)

Arguments

`motif_i`	A list representing the motif structure that includes the length ('len').
`distrib`	A string or numeric vector indicating the distribution from which to generate coefficients. Accepted values are "unif", "beta", or a numeric vector.
`dist_knots`	A numeric value indicating the distance between knots.
`norder`	An integer specifying the order of the B-spline.
`coeff_min`	A numeric value indicating the minimum coefficient value for uniform or beta distributions.
`coeff_max`	A numeric value indicating the maximum coefficient value for uniform or beta distributions.
`motif_seed`	An integer value setting the seed for the random number generator used in motif generation. This ensures reproducibility of the motif embedding process. Default is '43213'.

Details

Generate Coefficients for Motif

- For uniform distribution, coefficients are generated within the specified range defined by 'coeff_min' and 'coeff_max'. - For beta distribution, coefficients are scaled to the desired range using the specified minimum and maximum values.