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spec (version 0.1.9)

drug: Simulated Pharmacometric Data

Description

A fictitious dataset giving doses and pharmacometric samples for multiple subjects in an imaginary Phase * drug trial.

Usage

drug

Arguments

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