fsd.spca.scores: Compute the Scores for Spatial Functional Data

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

Description

This function computes the scores. It applies the matrices of the filter A to the data X.

Usage

fsd.spca.scores(X, A, na.ignore = FALSE)

Arguments

X	the functional spatial data. Either an fd object or an array.
A	the filter used to compute the scores.
na.ignore	whether missing values in the data X should be ignored.

Value

the array of the scores.

See Also

fsd.spca.inverse

Examples

## Not run: 
fsd.spca.scores(X, A)

## End(Not run)

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