Visualise how a date calibrates using the student-t distribution and the the normal distribution.
student.t(
y = 2450,
error = 50,
t.a = 3,
t.b = 4,
cc = 1,
postbomb = NULL,
cc1 = "IntCal20",
cc2 = "Marine20",
cc3 = "SHCal20",
cc4 = "mixed",
ccdir = "",
Cutoff = 1e-05,
times = 8,
rule = 1
)
The reported mean of the date.
The reported error of the date.
Value for the student-t parameter a
.
Value for the student-t parameter b
.
calibration curve for C14 dates (1, 2 or 3).
Which postbomb curve to use for negative 14C dates
For northern hemisphere terrestrial C14 dates.
For marine C14 dates.
For southern hemisphere C14 dates.
A custom calibration curve
Directory where the calibration curves for C14 dates cc
are allocated. By default ccdir=""
.
Use ccdir="."
to choose current working directory. Use ccdir="Curves/"
to choose sub-folder Curves/
.
Threshold above which calibrated probabilities are plotted
8 by default.
How should R's approx function deal with extrapolation. If rule=1
, the default, then NAs are returned for such points and if it is 2, the value at the closest data extreme is used.
Radiocarbon and other dates are usually modelled using the normal distribution (red curve). The student-t approach (grey distribution) however allows for wider tails and thus tends to better accommodate outlying dates. This distribution requires two parameters, called 'a' and 'b'.