View source: R/lipd.manipulation.R
selectData | R Documentation |
Selects and extracts a LiPD "variable list"
selectData(
L,
var.name = NA,
paleo.or.chron = "paleoData",
paleo.or.chron.num = NA,
table.type = "measurement",
meas.table.num = NA,
always.choose = FALSE,
alt.names = NA,
model.num = 1,
ens.table.num = 1,
sum.table.num = 1,
strict.search = FALSE
)
L |
A LiPD object - an R serialization of a single LiPD file. It's a list, and is typically created by 'readLipd()' |
var.name |
string name of the variable to extract |
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? |
table.type |
What type of table do you want to select data from? ("measurement", "summary" or "ensemble") |
meas.table.num |
an integer that corresponds to paleo.num measurementTable has the variable you want? |
always.choose |
Force selection of the variable from a list |
alt.names |
A vector of strings for alternative names to search for |
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? |
sum.table.num |
an integer that corresponds to which summaryTable you want to get the variable from? |
strict.search |
Use a strict.search to look for the ageEnsemble and depth variables. TRUE(default) or FALSE. |
A LiPD "variable list" object
Other LiPD manipulation:
createConcatenatedEnsembleMeasurementTable()
,
createModel()
,
createMultiModelEnsemble()
,
createSummaryTableFromEnsembleTable()
,
createTSid()
,
estimateUncertaintyFromRange()
,
getVariableIndex()
,
mapAgeEnsembleToPaleoData()
,
pullTsVariable()
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