as.pca.station: Coerce input to a 'pca' object

In metno/esd: Climate analysis and empirical-statistical downscaling (ESD) package for monthly and daily data

Coerce input to a pca object

Description

Transform a station object into a pca object using the function PCA. PCA decomposes a group of time series (a station object) into a set of spatial patterns (stored as the attribute 'pattern' of the pca object), corresponding time series (the core of the pca object often referred to as principle components), and eigenvalues that represent the relative strength of each spatial pattern.

Usage

## S3 method for class 'station'
as.pca(x, verbose = FALSE, ...)

Arguments

x	the input object
verbose	if TRUE print progress
...	other arguments

Value

a pc object

See Also

PCA

as.pca plot.pca map.pca as.station.pca DS.pca

metno/esd documentation built on April 24, 2024, 9:19 p.m.