histpop.plot {ncappc} | R Documentation |
Plots population histogram of the NCA metrics selected for 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 |
tunit |
Unit for time (default is |
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