Outliergram for univariate functional datasets

This function performs the plot of an object of class `Cov`

, i.e. a
covariance or cross-covaraince function.

1 2 |

`x` |
the covariance or cross-covariance function of class |

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

It builds above the function `graphics::image`

, therefore any additional
parameter suitable for `graphics::image`

will also be suitable as `...`

argument to `plot.Cov`

.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 | ```
# Generating a univariate functional dataset
N = 1e2
P = 1e2
t0 = 0
t1 = 1
time_grid = seq( t0, t1, length.out = P )
Cov = exp_cov_function( time_grid, alpha = 0.3, beta = 0.4 )
D1 = generate_gauss_fdata( N, centerline = sin( 2 * pi * time_grid ), Cov = Cov )
fD1 = fData( time_grid, D1 )
# Computing the covariance function of fD1
plot( cov_fun( fD1 ), main = 'Covariance function', xlab = 'time', ylab = 'time' )
``` |

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