aggregate.dsensemble: aggregate.dsensemble

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

aggregate.dsensemble

Description

The function aggregate.dsensemble is used to extract and aggregate information from PCA-based dsensemble-objects, to expand PCA into station data or EOFs into field data. It applies operations through the argument 'FUNX' to estimate quantities such as the ensemble mean and takes care of extra house keeping, such as attributes with meta data. aggregate.dsensemble is similar to expandpca but applies 'FUNX' for each time step after it has been expanded by matrix multiplication of the singular vectors (X = U map.dsensemble is a wrapper for map that uses one of the two former routines to distill selected information.

Usage

## S3 method for class 'dsensemble'
aggregate(
  x,
  ...,
  it = NULL,
  im = NULL,
  FUN = NULL,
  FUNX = "mean",
  verbose = FALSE,
  anomaly = FALSE,
  qc = TRUE,
  test = FALSE,
  eof = TRUE
)

Arguments

x	an object of type 'dsensemble'
it	time index (see subset)
FUN	function applied to aggregate in time
FUNX	function applied aggregate ensemble members
verbose	if TRUE print progress
anomaly	if FALSE add the mean value stored as attribute in x
qc	if TRUE perform quality control and exclude ensemble members with incomplete or suspect data
test	if TRUE perform test on one GCM simulation
eof	if TRUE and if the dsensemble object contains a spatially aggregated pattern, x$eof, expand with x$eof into an ensemble of field objects to which FUNX is applied. If FALSE, expand using the original pattern x$pca into an ensemble of station objects to be aggregated.

See Also

aggregate expandpca map.dsensemble

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