fsd.plot.filters: Plot functional spatial filters

In kuenzer/fsd: Functional Spatial Data: Spatial Functional PCA

Description

This function is used to plot functional spatial filters, along a two-dimensional plane of indices.

Usage

fsd.plot.filters(
  A,
  basisobj = NULL,
  gridsize = NULL,
  Npc = 3,
  Lmax = 3,
  set.dims = NULL,
  main = NULL,
  xlab = NULL,
  ylab = NULL
)

Arguments

A	the filters.
basisobj	the basis of the functional data.
gridsize	the number of grid points on which to evaluate the functional data.
Npc	number of filters to plot.
Lmax	maximum lag to plot.
set.dims	the coordinates to be fixed. A vector of dimension r. NaN represents not fixed components.
main	title of the plot.
xlab	label for the x-axis.
ylab	label for the y-axis.

See Also

plot.fsd.filter, fsd.plot.data, fsd.plot.covariance

Examples

## Not run: 
fsd.plot.filters(A)

## End(Not run)

kuenzer/fsd documentation built on July 21, 2020, 1:57 p.m.