area_under_curve: Area under curve of elements of univariate functional data
In roahd: Robust Analysis of High Dimensional Data

Description Usage Arguments Details Value See Also Examples

This method computes the (signed) area under the curve of elements of a univariate functional dataset, namely, their integral.

1	area_under_curve(fData)

fData

the functional dataset containing elements whose areas under the curve have to be computed, in form of fData object.

Given a univariate functional dataset, X_1(t), X_2(t), …, X_N(t), defined over a compact interval I=[a,b] and observed on an evenly spaced 1D grid [a = t_0, t_1, …, t_{P-1} = b] \subset I, the function computes:

∑_{i=1}^{P-2} \frac{X(t_{i+1}) - X(t_{i-1})}{2} h \approx \int_a^b X(t) dt,

where h = t_1 - t_0.

The function returns a numeric vector containing the values of areas under the curve for all the elements of the functional dataset fData.

area_ordered, fData

P = 1e3
grid = seq( 0, 1, length.out = P )

fD = fData( grid,
            matrix( c( sin( 2 * pi * grid ),
                       cos( 2 * pi * grid ),
                       4 * grid * ( 1 - grid ) ),
                    nrow = 3, ncol = P, byrow = TRUE ) )
plot( fD )

area_under_curve( fD )