generate_multilevel_data: Functions used to generate data in the various scenarios in...

In acweisha/gFPCAClassif: Classification of Binary Functional Data

Description

Functions used to generate data in the various scenarios in accompanying paper

Usage

generate_multilevel_data(
  scenario = 1,
  grid = seq(from = 0, to = 1, length.out = 48),
  N,
  p = rep(0.5, 2),
  J = 7,
  sigma = 0,
  binary = T,
  Ys = rbinom(N, 1, 0.5),
  return_scores_too = F
)

Arguments

scenario	Which scenario to generate data for: 1=A, 2=B, 3=C In paper
grid	which set of points within [0,1] will data be observed on
N	Total number of subjects to generate data for
p	vector showing distribution of the two groups
J	number of realizations
sigma	variance in the latent curves
binary	Reports whether to return binary or latent curves
Ys	Groups of the individuals
return_scores_too	T/F values to determine whether to return score coefficients too

Value

: Binary or latent curves

acweisha/gFPCAClassif documentation built on Dec. 18, 2021, 10:23 p.m.