registerSingleIter: Registers a sample of curves to its cross-sectional average

In snandi/Registration: Contains functions for registration algorithms, simulation and testing

Description

Uses the fda::register.fd function to register a sample of curves, after smoothing them.

Usage

registerSingleIter(
  dataToRegister, 
  Lambda_ConstrainedWarping, 
  abscissaFrom, 
  abscissaTo, 
  abscissaIncrement, 
  Convergence_Threshold = 1e-05,
  basisOrder = 4, 
  basisBreakFreq = 3, 
  Lambdas_Roughness = exp(-5:5)
)

Arguments

dataToRegister	A matrix of curves to register. Each column is a new curve.
Lambda_ConstrainedWarping	The roughness penalty for estimating the warping function. Smaller values will allow more undulations in the warping function.
abscissaFrom	Mininum value of abscissa
abscissaTo	Maximum value of abscissa
abscissaIncrement	Increment of abscissa
Convergence_Threshold	The value for argument conv in function register.fd
basisOrder	Order of B-spline bases
basisBreakFreq	Frequency of knots of basis functions
Lambdas_Roughness	Roughness penalty for smoothing using B-splines

Value

dataToRegister	Original dataset to register
Regfd_Final	Final registered data object. Output of register.fd
registeredCurves	A matrix of registered curves extracted from the registered object
registeredCurves.D1	A matrix of first derivatives of registered curves extracted from the registered object

Examples

data( growth, package = 'fda' )
Mat1 <- growth[['hgtm']]
Arguments <- growth[['age']]

#Mat1Registered <- registerSingleIter(
#  dataToRegister = Mat1, 
#  Lambda_ConstrainedWarping = 0.005, 
#  abscissaFrom = 1, 
#  abscissaTo = 16, 
#  abscissaIncrement = 0.5, 
#  Convergence_Threshold = 1e-05,
#  basisOrder = 5, 
#  basisBreakFreq = 3, 
#  Lambdas_Roughness = exp(-5:5), 
#)

snandi/Registration documentation built on May 30, 2019, 5:04 a.m.