View source: R/map.dsensemble.R
map.dsensemble | R Documentation |
map.dsensemble
is a wrapper for map
that distills ensemble statistics from PCA-based dsensemble objects.
The argument 'FUNX' is the function that is applied to the ensemble. If 'FUNX' is 'mean', the function expandpca
is
used to aggregate the data, otherwise the function aggregate.dsensemble
is employed. The difference is that
expandpca
applies 'FUNX' to the PCs before expanding the data, while aggregate.dsensemble
expands the data
for all ensemble members before aggregating them which is more suitable when calculating e.g. the .
## S3 method for class 'dsensemble'
map(
x,
it = c(2000, 2099),
is = NULL,
im = NULL,
ip = NULL,
colbar = list(pal = NULL, rev = FALSE, n = 10, breaks = NULL, pos = 0.05, show = TRUE,
type = "p", cex = 2, h = 0.6, v = 1),
FUN = "mean",
FUNX = "mean",
verbose = FALSE,
anomaly = FALSE,
test = FALSE,
plot = TRUE,
...
)
x |
an object of type 'pca' |
it |
time index (see |
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 |
test |
if TRUE perform test on one GCM simulation |
map aggregate.dsensemble expandpca
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