Functions for deriving a single point estimate of calendar age from calibrated
radiocarbon dates. Note that none of these methods produce a good estimate
(Michczyński 2007)
, and should only be used as a last resort
if the probability distribution function or an interval estimate is not
appropriate, in which case cal_mode() (the default) is recommended.
Usage
cal_mode(x, quiet = FALSE)
cal_median(x)
cal_mean(x)
cal_local_mode(x, interval = 0.954)
cal_central(x, interval = 0.954)Details
cal_mode()Age corresponding to the maximum peak of the probability distribution. If
xhas more than one modal value, the first is returned.cal_median()Age corresponding to the median quantile of the probability distribution.
cal_mean()Mean age weighted by probability density.
cal_local_mode()Age corresponding to the maximum peak of the probability distribution within the confidence range specified by
interval(not yet implemented).cal_central()Age corresponding to the central point of the probability density within the confidence range specified by
interval(not yet implemented).
References
Michczyński A (2007). “Is it Possible to Find a Good Point Estimate of a Calibrated Radiocarbon Date?” Radiocarbon, 49(2), 393–401. ISSN 0033-8222, 1945-5755. doi:10.1017/S0033822200042326 .
See also
Other functions for summarising calibrated radiocarbon dates:
cal_hdr(),
cal_probability()
Examples
x <- c14_calibrate(10000, 30)
cal_mode(x)
#> # cal BP years <yr[1]>:
#> [1] 11400
#> # Era: Before Present (cal BP): Gregorian years (365.2425 days), counted backwards from 1950
cal_median(x)
#> # cal BP years <yr[1]>:
#> [1] 11475
#> # Era: Before Present (cal BP): Gregorian years (365.2425 days), counted backwards from 1950
cal_mean(x)
#> # cal BP years <yr[1]>:
#> [1] 11479.82
#> # Era: Before Present (cal BP): Gregorian years (365.2425 days), counted backwards from 1950