S3 method implements the cross-sectional mean of a
univariate functional dataset stored in a
fData object, i.e. the
mean computed point-by-point along the grid over which the dataset is
the univariate functional dataset whose cross-sectional mean must be
computed, in form of
possible additional parameters. This argument is kept for
compatibility with the
The function returns a
fData object with one observation
defined on the same grid as the argument
x's representing the
desired cross-sectional mean.
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N = 1e2 P = 1e2 grid = seq( 0, 1, length.out = P ) # Generating a gaussian functional sample with desired mean target_mean = sin( 2 * pi * grid ) C = exp_cov_function( grid, alpha = 0.2, beta = 0.2 ) fD = fData( grid, generate_gauss_fdata( N, centerline = target_mean, Cov = C ) ) # Graphical representation of the mean plot( fD ) plot( mean( fD ), col = 'black', lwd = 2, lty = 2, add = TRUE )
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