Tables
using NCA, PharmaDatasets
df = dataset("po_sad_1")
results = run_nca(read_nca_pumas(df; concentration = :dv, dose = :amt))
NCA.geomean_cv_table(
results,
[:auclast, :cmax];
variable_names = Dict(:auclast => "AUC Last (ng/L*mg)", :dose => "Dose (mg)"),
)| Dose (mg) | |||
| 30 (n=6) |
60 (n=6) |
90 (n=6) |
|
| AUC Last (ng/L*mg) | |||
| Geometric Mean | 7000 | 14762 | 30035 |
| CV% | 56.1 | 28.6 | 40.3 |
| cmax | |||
| Geometric Mean | 324 | 590 | 955 |
| CV% | 76.2 | 25.2 | 59.6 |
NCA.geomean_cv_table — Function
geomean_cv_table(nca, variables; variable_names = Dict())Build a SummaryTables.Table of geometric mean and CV% for each of variables in the run_nca result nca, grouped by dose.
Pass variable_names to label a column with something other than the variable's own name. The :dose key labels the grouping column.