| drug {spec} | R Documentation |
Simulated Pharmacometric Data
Description
A fictitious dataset giving doses and pharmacometric samples for multiple subjects in an imaginary Phase * drug trial.
Usage
drug
Format
A data frame with 600 rows and 24 variables:
- C
a comment flag, typically NA but 'C' for records that should be ignored
- ID
integer subject identifier
- TIME
relative time (h)
- SEQ
sequence identifier to break ties when sorting
- EVID
event type identifier, 0: pk sample, 1: dose
- AMT
drug amount (mg)
- DV
plasma drug concentration (ng/mL)
- SUBJ
subject identifier
- HOUR
nominal hour (h)
- HEIGHT
height (cm)
- WEIGHT
weight (kg)
- SEX
sex, 0: female, 1: male
- AGE
age (y)
- DOSE
dose group (mg)
- FED
prandial state, 0: fasted, 1: fed
- SMK
smoker status, 0: non, 1: smoker
- DS
disease state, 0: no disease
- CRCN
normalized creatinine clearance (mL/min)
- TAFD
time since first dose (h)
- TAD
time since most recent dose (h)
- LDOS
amount of most recent dose (mg)
- MDV
missing dependent value, 0: not missing, 1: missing
- predose
predose flag, 0: record not predose, 1: record is predose
- zerodv
zero DV flag, 0, DV not zero, 1: DV is zero