<p>Model generated PK data to mimic an orally administered small molecule.
Simulated single dose administration ranging from 100 mg to 1600 mg.</p>

datasets

Supports a structured approach
for exploring PKPD data <https://opensource.nibr.com/xgx>. It also
contains helper functions for enabling the modeler to follow best R
practices (by appending the program name, figure name location, and
draft status to each plot). In addition, it enables the modeler to
follow best graphical practices (by providing a theme that
reduces chart ink, and by providing time-scale, log-scale, and
reverse-log-transform-scale functions for more readable axes).
Finally, it provides some data checking and summarizing functions for
rapidly exploring pharmacokinetics and pharmacodynamics (PKPD) datasets.

Andrew Stein

xgxr

Exploratory Graphics for Pharmacometrics

Alison Margolskee

Fariba Khanshan

Konstantin Krismer

Matthew Fidler

Novartis Pharma AG 

sad function

<p>A data frame with the following 16 columns:</p><table><tr><td>
  column 1: </td>
<td> <code>ID</code> </td>
<td> numeric; unique subject ID</td>
</tr><tr><td>
  column 2: </td>
<td> <code>TIME</code> </td>
<td> numeric; time relative to first drug 
  administration</td>
</tr><tr><td>
  column 3: </td>
<td> <code>NOMTIME</code> </td>
<td> numeric; nominal time</td>
</tr><tr><td>
  column 4: </td>
<td> <code>TIMEUNIT</code> </td>
<td> character; unit of TIME</td>
</tr><tr><td>
  column 5: </td>
<td> <code>AMT</code> </td>
<td> numeric; dosing amount (for dosing events) 
  in mg</td>
</tr><tr><td>
  column 6: </td>
<td> <code>LIDV</code> </td>
<td> numeric; observation on a linear scale 
  (observation type determined by CMT), units determined by EVENTU column</td>
</tr><tr><td>
  column 7: </td>
<td> <code>MDV</code> </td>
<td> numeric; missing dependent variable </td>
</tr><tr><td>
  (1 if missing, 0 otherwise)</td>
<td>
  column 8: </td>
<td> <code>CMT</code> </td>
</tr><tr><td> integer; compartment number 
  (determines observation type):</td>
<td>
  </td>
<td> </td>
</tr><tr><td> CMT 1 = Dosing event</td>
<td>
  </td>
<td> </td>
</tr><tr><td> CMT 2 = PK concentration</td>
<td>
  column 9: </td>
<td> <code>NAME</code> </td>
</tr><tr><td> character; description of event</td>
<td>
  column 10: </td>
<td> <code>EVENTU</code> </td>
</tr><tr><td> character; unit for observation</td>
<td>
  column 11: </td>
<td> <code>CENS</code> </td>
</tr><tr><td> integer; censored values
  (0 = not censored, 1 = censored)</td>
<td>
  column 12: </td>
<td> <code>EVID</code> </td>
</tr><tr><td> integer; event ID (0 = observation, 
  1 = dosing event)</td>
<td>
  column 13: </td>
<td> <code>WEIGHTB</code> </td>
</tr><tr><td> numeric; baseline body weight (kg)</td>
<td>
  column 14: </td>
<td> <code>SEX</code> </td>
</tr><tr><td> character; sex</td>
<td>
  column 15: </td>
<td> <code>TRTACT</code> </td>
</tr><tr><td> factor; treatment group label</td>
<td>
  column 1: </td>
<td> <code>ID</code> </td>
</tr></table>

Format

Single Ascending Dose Data Set — sad

Single Ascending Dose Data Set

sad: Single Ascending Dose Data Set

Description

Usage

Arguments

Format

column 1:	`ID`	numeric; unique subject ID
column 2:	`TIME`	numeric; time relative to first drug administration
column 3:	`NOMTIME`	numeric; nominal time
column 4:	`TIMEUNIT`	character; unit of TIME
column 5:	`AMT`	numeric; dosing amount (for dosing events) in mg
column 6:	`LIDV`	numeric; observation on a linear scale (observation type determined by CMT), units determined by EVENTU column
column 7:	`MDV`	numeric; missing dependent variable
(1 if missing, 0 otherwise)	column 8:	`CMT`
integer; compartment number (determines observation type):
CMT 1 = Dosing event
CMT 2 = PK concentration	column 9:	`NAME`
character; description of event	column 10:	`EVENTU`
character; unit for observation	column 11:	`CENS`
integer; censored values (0 = not censored, 1 = censored)	column 12:	`EVID`
integer; event ID (0 = observation, 1 = dosing event)	column 13:	`WEIGHTB`
numeric; baseline body weight (kg)	column 14:	`SEX`
character; sex	column 15:	`TRTACT`
factor; treatment group label	column 1:	`ID`