Operator sub-.fData to subset fData obejcts

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Description

This method provides an easy and natural way to subset a functional dataset stored in a fData object, without having to deal with the inner representation of fData class.

Usage

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## S3 method for class 'fData'
fD[i, j, as_fData = TRUE]

Arguments

fD

the univariate functional dataset in form of fData object.

i

a valid expression to subset rows ( observations ) of the univariate functional dataset

j

a valid expression to subset columns ( measurements over the grid ) of the univariate functional dataset.

as_fData

logical flag to specify whether the output should be returned as an fData object containing the required subset or as a matrix of values, default is TRUE.

Value

The method returns either an fData object ( if as_fData = TRUE ) or a matrix ( if as_fData = FALSE ) containing the required subset ( both in terms of observations and measurement points ) of the univariate functional dataset.

See Also

fData

Examples

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N = 20
P = 1e2

# One dimensional grid
grid = seq( 0, 1, length.out = P )

# Generating an exponential covariance function (see related help for more
# information )
C = exp_cov_function( grid, alpha = 0.3, beta = 0.4 )

# Generating a synthetic dataset with a gaussian distribution and
# required mean and covariance function:
fD = fData( grid,
            generate_gauss_fdata( N,
                                  centerline = sin( 2 * pi * grid ),
                                  Cov = C ) )

dev.new()
par( mfrow = c( 2, 2 ) )

# Original data
plot( fD )

# Subsetting observations
plot( fD[ c(1,2,3), , as_fData = TRUE ] )

# Subsetting measurements
plot( fD[ , 1 : 30 ] )

# Subsetting both observations and measurements
plot( fD[ 1 : 10, 50 : P ] )

# Subsetting both observations and measurements but returning a matrix
fD[ 1 : 10, 50 : P, as_fData = FALSE ]

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