histpop.plot: Plots population histogram of the NCA metrics selected for...

In ncappc: NCA Calculations and Population Model Diagnosis

Description

histpop.plot plots population histogram of the NCA metrics selected for model diagnosis (e.g. AUClast, AUCINF_obs, Cmax and Tmax).

Usage

histpop.plot(obsdata = outData, simdata = smedianData, figlbl = NULL,
  param = c("AUClast", "Cmax"), cunit = NULL, tunit = NULL,
  spread = "npi")

Arguments

obsdata	Data frame with the values of the NCA metrics estimated from the observed data
simdata	Data frame with the values of the NCA metrics estimated from the simulated data
figlbl	Figure label based on dose identifier and/or population stratifier (NULL)
param	A character array of the NCA metrics. The allowed NCA metrics for this histograms are "AUClast", "AUClower_upper", "AUCINF_obs", "AUCINF_pred", "AUMClast", "Cmax", "Tmax" and "HL_Lambda_z". (c("AUClast", "Cmax"))
cunit	Unit for concentration (default is NULL)
tunit	Unit for time (default is NULL)
spread	Measure of the spread of simulated data (ppi (95% parametric prediction interval) or npi (95% nonparametric prediction interval)) ("npi")

Details

histpop.plot plots histogram of the NCA metrics selected for the model diagnosis and compares with the corresponding metrics estimated from the observed data. The allowed NCA metrics for this histograms are "AUClast", "AUClower_upper", "AUCINF_obs", "AUCINF_pred", "AUMClast", "Cmax", "Tmax" and "HL_Lambda_z". By default, this function produces histogram of AUClast and Cmax.

Value

returns a graphical object created by arrangeGrob function

ncappc documentation built on May 1, 2019, 7:31 p.m.