Model generated PK and PD data to mimic an orally administered small molecule with various endpoints from continuous to ordinal response and count data. Simulated multiple dose administration ranging from 100 mg to 1600 mg, once per day.



A data frame with the following 19 columns:

column 1:IDnumeric; unique subject ID
column 2:TIMEnumeric; time relative to first drug administration
column 3:NOMTIMEnumeric; nominal time
column 4:TIMEUNITcharacter; unit of TIME
column 5:AMTnumeric; dosing amount (for dosing events) in mg
column 6:LIDVnumeric; observation on a linear scale (observation type determined by CMT), units determined by EVENTU column
column 7:MDVnumeric; missing dependent variable
column 8:CMTinteger; compartment number (determines observation type):
CMT 1 = Dosing event
CMT 2 = PK concentration
CMT 3 = Continuous response data
CMT 4 = Count response data
CMT 5 = Ordinal response data
CMT 6 = Binary response data
column 9:NAMEcharacter; description of event
column 10:EVENTUcharacter; unit for observation
column 11:CENSinteger; censored values (0 = not censored, 1 = censored)
column 12:EVIDinteger; event ID (0 = observation, 1 = dosing event)
column 13:WEIGHTBnumeric; baseline body weight (kg)
column 14:SEXcharacter; sex
column 15:TRTACTfactor; treatment group label
column 16:DOSEnumeric; randomized dose in mg
column 17:PROFDAYnumeric; day of profile
column 18:PROFTIMEnumeric; time within PROFDAY
column 19:CYCLEnumeric; count of drug administrations received