A simulated dataset for the fictional drug examplomycin. The dataset contains 500 subjects, each with 9 timepoints. It was generated using a two-compartment pharmacokinetic model with first-order absorption and elimination. Random effects and residual errors are included to simulate variability and noise.
Format
A data frame with 4500 rows and 6 variables:
ID: Subject ID.TIME: Observation time (hours).DV: Observed drug concentration (mg/L).AMT: Amount of drug administered (mg).EVID: Event type indicator (0 for observation, 101 for dosing).CMT: Compartment number (1 for depot, 2 for central).
Examples
#' # Load required libraries
library(admr)
# Load the dataset
data("examplomycin")
# View the first few rows
head(examplomycin)
#> ID TIME DV AMT EVID CMT
#> 1 460 0.00 0.000 100 101 1
#> 2 460 0.10 0.752 0 0 2
#> 3 460 0.25 1.932 0 0 2
#> 4 460 0.50 3.694 0 0 2
#> 5 460 1.00 3.479 0 0 2
#> 6 460 2.00 4.003 0 0 2