Description Usage Arguments Details See Also Examples

This function performs the plot of a functional multivariate dataset stored
in an object of class `mfData`

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

1 2 |

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

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

The current active graphical device is split into a number of sub-figures,
each one meant to contain the plot of the corresponding dimension of the
`mfData`

object. In particular, they are arranged in a rectangular
lattice with a number of rows equal to * \lfloor √{ L } \rfloor *
and a number of columns equal to * \lceil L / \lfloor √{L} \rfloor
\rceil *.

A special use of the graphical parameters allows to set up y-labels and
titles for all the sub-figures in the graphical window. In particular,
parameters `ylab`

and `main`

can take as argument either a single
string, that are repeatedly used for all the sub-graphics, or a list of
different strings (one for each of the `L`

dimensions) that have to be
used in the corresponding graphic.

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
N = 1e2
P = 1e3
t0 = 0
t1 = 1
# Defining the measurement grid
grid = seq( t0, t1, length.out = P )
# Generating an exponential covariance matrix to be used in the simulation of
# the functional datasets (see the related help for details)
C = exp_cov_function( grid, alpha = 0.3, beta = 0.4 )
# Simulating the measurements of two univariate functional datasets with
# required center and covariance function
Data_1 = generate_gauss_fdata( N, centerline = sin( 2 * pi * grid ), Cov = C )
Data_2 = generate_gauss_fdata( N, centerline = sin( 2 * pi * grid ), Cov = C )
# Building the mfData object and plotting tt
plot( mfData( grid, list( Data_1, Data_2 ) ),
xlab = 'time', ylab = list( '1st dim.', '2nd dim.' ),
main = list( 'An important plot here', 'And another one here' ) )
``` |

roahd documentation built on May 2, 2018, 5:05 p.m.

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