createMultiModelEnsemble | R Documentation |
Create a multi-model ensemble
createMultiModelEnsemble(
L,
depth.var = "depth",
age.var = "ageEnsemble",
models.to.combine,
chron.num = 1,
depth.interval = 10,
depth.seq = NA,
ens.table.number = 1,
n.ens = 1000
)
L |
A lipd object containing the ensembles you want to combine |
depth.var |
What is the variable name of the ensemble depth vector? Must be the same for all models. |
age.var |
What is the variable name of the chronEnsemble? Must be the same for all models. |
models.to.combine |
2 or more integers that correspond to the chronData model objects you want to combine into an ensemble |
chron.num |
an integer that corresponds to number of the chronData object (L$chron[[?]]) |
depth.interval |
The depth spacing that you want the new ensemble to be interpolated to. |
depth.seq |
Optionally specify a depth sequence overwhich to create the new ensemble |
ens.table.number |
What ensemble table number should we pull the data from (default = 1) |
n.ens |
How many ensembles should be included in the final model? The amount from each contributing model will be equal (or very nearly so if it's not evenly divisible) |
A lipd object with a new chron model that contains your multimodel ensemble.
Other LiPD manipulation:
createConcatenatedEnsembleMeasurementTable()
,
createModel()
,
createSummaryTableFromEnsembleTable()
,
createTSid()
,
estimateUncertaintyFromRange()
,
getVariableIndex()
,
mapAgeEnsembleToPaleoData()
,
pullTsVariable()
,
selectData()
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