createSummaryTableFromEnsembleTable | R Documentation |
Create a summary table from an ensemble table
createSummaryTableFromEnsembleTable(
L,
paleo.or.chron = "chronData",
paleo.or.chron.num = NA,
model.num = NA,
ens.table.num = NA,
ens.var = "ageEnsemble",
probs = c(0.025, 0.25, 0.5, 0.75, 0.975),
prob.vars = c("unc2.5", "unc25", "ageMedian", "unc75", "unc97.5"),
depth.var = "depth"
)
L |
A LiPD object - an R serialization of a single LiPD file. It's a list, and is typically created by 'readLipd()' |
paleo.or.chron |
"paleoData" or "chronData" |
paleo.or.chron.num |
an integer that corresponds to paleo.num or chron Data object (L$<paleo.or.chron>[[?]]) has the variable you want? |
model.num |
an integer that corresponds to model.num that has the variable you want |
ens.table.num |
an integer that corresponds to ensembleTable you want to get the variable from? |
ens.var |
The name of the ensemble variable (default = "ageEnsemble") |
probs |
A vector of probabilites (quantiles) should be computed for the summary? (default = c(0.025,0.25,.5,.75,.975)) |
prob.vars |
A vector of variableNames for the probabilites in probs (default = c("unc2.5","unc25","ageMedian","unc75","unc97.5")) |
depth.var |
The name of the depth (or position) variable in the ensemble table (default = "depth") |
A LiPD object with an added ensemble table
Other LiPD manipulation:
createConcatenatedEnsembleMeasurementTable()
,
createModel()
,
createMultiModelEnsemble()
,
createTSid()
,
estimateUncertaintyFromRange()
,
getVariableIndex()
,
mapAgeEnsembleToPaleoData()
,
pullTsVariable()
,
selectData()
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