Calibrate all dates in a c14_date_list with
Bchron::BchronCalibrate(). The function provides two different
kinds of output variables that are added as new list columns to the input
c14_date_list: calprobdistr and calrange.
calrange is accompanied by sigma. See
?Bchron::BchronCalibrate and ?c14bazAAR:::hdr for some more
information.
calprobdistr: The probability distribution of the individual date
for all ages with an individual probability >= 1e-06. For each date there's
a data.frame with the columns calage and density.
calrange: The contiguous ranges which cover the probability interval
requested for the individual date. For each date there's a data.frame with the
columns dens and from and to.
Usage
calibrate(
x,
choices = c("calrange"),
sigma = 2,
calCurves = rep("intcal20", nrow(x)),
...
)
# S3 method for default
calibrate(
x,
choices = c("calrange"),
sigma = 2,
calCurves = rep("intcal20", nrow(x)),
...
)
# S3 method for c14_date_list
calibrate(
x,
choices = c("calrange"),
sigma = 2,
calCurves = rep("intcal20", nrow(x)),
...
)Arguments
- x
an object of class c14_date_list
- choices
whether the result should include the full calibrated probability dataframe ('calprobdistr') or the sigma range ('calrange'). Both arguments may be given at the same time.
- sigma
the desired sigma value (1,2,3) for the calibrated sigma ranges
- calCurves
a vector of values containing either intcal20, shcal20, marine20, or normal (older calibration curves are supposed such as intcal13). Should be the same length the number of ages supplied. See BchronCalibrate for more information
- ...
passed to BchronCalibrate
Value
an object of class c14_date_list with the additional columns calprobdistr or calrange and sigma
Examples
calibrate(
example_c14_date_list,
choices = c("calprobdistr", "calrange"),
sigma = 1
)
#> Calibrating dates...
#>
|
| | 0%
|
|++ | 5%
|
|++++++++++++++++++++++++++++++++++++++++++++++++ | 95%
|
|++++++++++++++++++++++++++++++++++++++++++++++++++| 100%
#> Radiocarbon date list
#> dates: 9
#> sites: 4
#> countries: 5
#> uncalBP: 9000 ― 1000
#>
#> # A data frame: 9 × 22
#> sourcedb method labnr c14age c14std calprobdistr calrange sigma c13val site
#> <chr> <chr> <chr> <int> <int> <list> <list> <dbl> <dbl> <chr>
#> 1 A Conv lab-1 1000 20 <df [212 × 2]> <df> 1 -15 Site…
#> 2 A Conv lab-2 2000 30 <df [386 × 2]> <df> 1 -20 Site…
#> 3 A AMS lab-3 3000 40 <df [490 × 2]> <df> 1 -25 Site…
#> 4 B NA lab-4 4000 50 <df [694 × 2]> <df> 1 -15 Site…
#> 5 B AMS lab-5 5000 50 <df [420 × 2]> <df> 1 -20 Site…
#> 6 B AMS lab-6 6000 60 <df [702 × 2]> <df> 1 -25 Site…
#> 7 C AMS lab-7 7000 70 <df [586 × 2]> <df> 1 -15 Site…
#> 8 C AMS lab-8 8000 80 <df [979 × 2]> <df> 1 -20 Site…
#> 9 C AMS lab-9 9000 90 <df> <df> 1 -25 Site…
#> # ℹ 12 more variables: sitetype <chr>, feature <chr>, period <chr>,
#> # culture <chr>, material <chr>, species <chr>, region <chr>, country <chr>,
#> # lat <dbl>, lon <dbl>, shortref <chr>, comment <chr>