rmseCurves: RMSE of a sample of curves with a template

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

Description

This function takes in a sample of curves in the form of a matrix or data.frame with each column being a separate curve, and returns the average RMSE (root mean squared error) between the curves and a template.

Usage

rmseCurves(curves, template = NULL, Round = 4)

Arguments

curves	A matrix or data.frame of curves, each column being a separate curve
template	A template curve. If NULL the template is estimated as rowMeans(curves)
Round	An integer value to round off the average rmse.

Value

Returns a list

rmseVector	A vector of rmse between curves and template
rmseMean	Average of rmseVector

Author(s)

Subhrangshu Nandi; PhD, Statistics; [e-mail] or [e-mail]

Examples

data( growth, package = 'fda' )
Mat1 <- growth[['hgtm']]
rmseMat1 <- rmseCurves( curves = Mat1 )

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