as.station.dsensemble.pca | R Documentation |
Transform a dsensemble pca
object into a dsensemble station
object
by extracting the results model wise and using the downscaled principle components
to reconstruct station time series.
## S3 method for class 'dsensemble.pca'
as.station(
x,
...,
is = NULL,
ip = NULL,
nmin.m = 1,
nmin.t = 1,
verbose = FALSE
)
x |
a dsensemble pca object |
... |
additional arguments |
is |
A list or data.frame providing space index, e.g. a list of longitude and latitude range like list(lon=c(0,60), lat=c(35,60)). |
ip |
selection of patterns in PCA or EOF (used for e.g. filtering the data) |
nmin.m |
Threshold used to remove ensemble members with few available values. Ensemble members with valid data for less than nmin.m time steps are removed. |
nmin.t |
Threshold used to remove time steps with few available values. Time steps with valid data for less than nmin.t ensemble members are removed. |
verbose |
if TRUE print progress |
as.station as.station.dsensemble DSensemble
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