Specialised method to plot 'Cov' objects

This function performs the plot of a functional univariate dataset stored in
an object of class `fData`

. It is able to accept all the usual
customisable graphical parameters, otherwise it will use the default ones.

1 2 |

`x` |
the univariate functional dataset in form of |

`...` |
additional graphical parameters to be used in plotting functions |

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | ```
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:
values = generate_gauss_fdata( N,
centerline = sin( 2 * pi * grid ),
Cov = C )
fD = fData( grid, values )
plot( fD )
``` |

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