fdakma (version 1.1.1)

kma.data: Simulated Data

Description

kma.data is a functional dataset displaying both amplitude and phase variability.

Usage

data(kma.data)

format

List of 3 elements: $x : abscissa values where each function is evaluated $y0: evaluations of the original functions on the abscissa grid kma.data$x $y1: evaluations of the original function first derivatives on the abscissa grid kma.data$x.

References

Sangalli, L.M., Secchi, P., Vantini, S., Vitelli, V., 2010. "K-mean alignment for curve clustering". Computational Statistics and Data Analysis, 54, 1219-1233.

See Also

kma.compare, kma.similarity, fdakma, kma, kma.show.results

Examples

data(kma.data)

x <- kma.data$x # abscissas
y0 <- kma.data$y0 # evaluations of original functions
y1 <- kma.data$y1 # evaluations of original function first derivatives

# Plot of original functions
matplot(t(x),t(y0), type='l', xlab='x', ylab='orig.func')
title ('Original functions')

# Plot of original function first derivatives
matplot(t(x),t(y1), type='l', xlab='x', ylab='orig.deriv')
title ('Original function first derivatives')