Summarise a Bchronology object
# S3 method for BchronologyRun
summary(
object,
type = c("quantiles", "outliers", "convergence", "sed_rate", "acc_rate", "max_var"),
probs = c(0.025, 0.25, 0.5, 0.75, 0.975),
useExisting = TRUE,
numPos = 3,
...,
digits = max(3, getOption("digits") - 3)
)A data frame summarising the Bchronology object depending on the type of summary requested. For quantiles, a data frame with the quantiles for each position. For outliers, a data frame with outlier probabilities. For convergence, a data frame with p-values for convergence diagnostics. For sedimentation and accumulation rates, a data frame with the rates at each position/age. For maximum variance, a vector of positions with maximum age variance.
Output from a run of Bchronology
Type of output required. The default (quantiles) gives the quantiles of the ages for each position in predictPositions from Bchronology. The other options provide outlier probabilities, convergence diagnostics, accumulation rates, sedimentation rate, and positions of maximum age variance
Probabilities (between 0 and 1) at which to summarise the predicted chronologies
Whether to use the predicted chronologies/positions to calculate the sedimentation rate (if TRUE - default) or to re-create them based on a unit-scaled position grid (if FALSE). The latter will be a little bit slower but will provide better sedimentation rate estimates if the original positions are not on a unit scale (e.g. each cm)
The number of positions at which to provide the maximum variance
Other arguments (not currently supported)
Number of digits to report values
BchronCalibrate, Bchronology BchronRSL, BchronDensity, BchronDensityFast