Create reference data object for LIA endmember distance and probability estimation functions. Data preprocessing and cleaning ensure the reliability and accuracy of provenance analysis. This step results in the removal of all NA values from the selected isotope tables and groups. The step should also exclude groups with a low number samples (in the case of Shnyr et al. (2026), this was 5).
Source:R/ASTR_PbIso_Prov.R
as_pbiso_ref_data.RdCreate reference data object for LIA endmember distance and probability estimation functions. Data preprocessing and cleaning ensure the reliability and accuracy of provenance analysis. This step results in the removal of all NA values from the selected isotope tables and groups. The step should also exclude groups with a low number samples (in the case of Shnyr et al. (2026), this was 5).
Usage
as_pbiso_ref_data(x, ...)
# S3 method for class 'ASTR'
as_pbiso_ref_data(x, group, min_groupsize = 5L, ...)Value
ASTR_Pbiso_ref_data object with isotope groupings and isotope
columns of 206Pb/204Pb, 207Pb/204Pb, 208Pb/204Pb.
See also
Other Pb isotope functions:
age_models,
geom_sk_lines(),
pb_iso_endmembers(),
pb_iso_prov_dist(),
pb_iso_prov_predict(),
pb_iso_train_data(),
tel_dor
Examples
as_pbiso_ref_data(GlobaLID_ASTR,
names(GlobaLID_ASTR)[[2]],
min_groupsize = 5)
#> ASTR table
#> Analytical columns: 207Pb/204Pb, 208Pb/204Pb
#> NULL
#> # A data frame: 5,784 × 4
#> `Political province/region` `206Pb/204Pb` `207Pb/204Pb` `208Pb/204Pb`
#> <chr> <dbl> <dbl> <dbl>
#> 1 Catamarca 18.7 15.6 38.7
#> 2 Catamarca 18.8 15.6 38.8
#> 3 Catamarca 18.8 15.7 38.8
#> 4 Catamarca 18.8 15.7 38.9
#> 5 Catamarca 18.7 15.6 38.8
#> 6 Catamarca 18.7 15.6 38.8
#> 7 Catamarca 18.7 15.6 38.7
#> 8 Catamarca 18.7 15.6 38.7
#> 9 Catamarca 18.7 15.6 38.7
#> 10 Catamarca 18.8 15.6 38.8
#> # ℹ 5,774 more rows