Create a data frame for chron measurement data
createChronMeasInputDf(
L,
chron.num = NA,
meas.table.num = NA,
lab.id.var = "labID",
age.14c.var = "age14C",
age.14c.uncertainty.var = "age14CUnc",
age.var = "age",
age.uncertainty.var = "ageUnc",
depth.var = "depth",
reservoir.age.14c.var = "reservoirAge",
reservoir.age.14c.uncertainty.var = "reservoirAge14C",
rejected.ages.var = "rejected",
split.ages = TRUE
)
A LiPD object - an R serialization of a single LiPD file. It's a list, and is typically created by `readLipd()`
Which chron number to get data from
an integer that corresponds to paleo.num measurementTable has the variable you want?
Lab Id variable name
Radiocarbon age variable name
Radiocarbon age uncertainty variable name
Calibrated age variable name
Calibrated age uncertainty variable name
Depth variable name
Reservoir age variable name
Reservoir age uncertainty variable name
Rejected ages variable name
if there's an age_type column, and only one age column, intelligently split between age and age14C (default = TRUE)
a standardized dataframe of chron measurements
Other utility:
askUser()
,
concatEnsembleTimeseries()
,
convertAD2BP()
,
convertBP2AD()
,
gaussianize()
,
getLastVarString()
,
getOs()
,
heuristicUnits()
,
loadRemote()
,
pullInstance()
,
stringifyVariables()
,
surrogateDataFun()