c14 provides basic classes and functions for radiocarbon data in R. It makes it easier to combine methods from several existing packages (e.g. rcarbon, Bchron, oxcAAR, c14bazAAR, ArchaeoPhases, stratigraphr) together and work with them in a tidy data workflow.
It was forked from stratigraphr v0.3.0.
You can install the development version of c14 from GitHub with the remotes package:
# install.packages("remotes")
remotes::install_github(c("joeroe/controller", "joeroe/c14"))Note that the dependency controller is also not yet available on CRAN.
The main aim of c14 is to make it easier to work with radiocarbon data
within a tidy workflow. For example, we can combine dplyr::filter()
with c14_calibrate() to only calibrate dates from a specific site:
library("c14")
library("dplyr", warn.conflicts = FALSE)
ppnd |>
filter(site == "Ganj Dareh") |>
select(lab_id, cra, error) |>
mutate(cal = c14_calibrate(cra, error))
#> # A tibble: 9 × 4
#> lab_id cra error cal
#> <chr> <int> <int> <cal>
#> 1 GaK 807 10400 150 c. 12200 cal BP
#> 2 OxA 2099 8840 110 c. 9900 cal BP
#> 3 OxA 2100 9010 110 c. 10200 cal BP
#> 4 OxA 2101 8850 100 c. 10100 cal BP
#> 5 OxA 2102 8690 110 c. 9560 cal BP
#> 6 SI 922 8570 210 c. 9540 cal BP
#> 7 SI 923 8625 195 c. 9545 cal BP
#> 8 SI 924 8640 90 c. 9550 cal BP
#> 9 SI 925 8385 75 c. 9440 cal BPThe resulting cal-class vector can be assigned to a new column,
allowing us to keep working with the data in the context of the original
data frame or tibble.