summary.fsd.filter: Analyse functional spatial filters

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

Description

This function is used to analyse functional spatial filters, indicating how the squared norms lie.

Usage

## S3 method for class 'fsd.filter'
summary(object, ..., use.norm = Inf, make.plot = FALSE)

Arguments

object	the filter.
...	currently unused
use.norm	which norm to use for the lags.
make.plot	a boolean indicating whether to plot the result.

Value

object list with components

balls	a data frame containing the cumulative sums of the squared norms of the filter coefficients up to some maximum lag.
zeroplanes	a matrix containing the sums of the squared norms of the filter coefficients lying on the (hyper-) planes with one dimension of the lag equals zero, along with the sum over all lags as comparison.
abs.sum	a data frame containing the cumulative sums of the norms of the filter coefficients.

See Also

fsd.plot.filters

Examples

## Not run: 
summary.fsd.filter(object)

## End(Not run)

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