Hi Magda,
R_Combine is used to combine two (or more) radiocarbon determinations that
are from the same source so that the merged material is from the same
radiocarbon reservoir, for instance two bones from the same body. The
merging is carried out before the calibration. A Chi Sq test is carried
out to determine if the data can be merged, or if there is some problem with one
or other of the determinations, possibly lab error or contamination.
Warning! X-Test fails at 5% - X2-Test: df=1 T=4.027(5% 3.8)
'T' must be less than the 5% figure to pass.
On the other hand, if you believe that the determinations are co-eval, but
not from the same radiocarbon source, 'Combine' is a group function that
combines any number of PDFs which all give independent information on a
parameter. It is carried out after calibration. A Chi Sq test is
carried out, however the test
parameter to examine is Acomb:
Warning! X-Test fails at 5% - X2-Test: df=1 T=15.921(5% 3.8)
Warning!
Poor agreement - n=2 Acomb= 1.9%(An= 50.0%)
'Acomb' must be greater than An to pass.
However, there is much more to it than simply combining likely data in a
layer. What is the material?. Is it charcoal? Is it intrusive to the
layer. Does it actually date the element of interest?
Why do you wish to merge the data? It may reduce the error range, but
leave you with a single date, when several dates in a Phase with boundaries can
provide a more meaningful scenario for the layer. etc etc.
Best wishes
Ray (non expert)