histobs.plot: Plots histogram of selected set of NCA metrics.

In ncappc: NCA Calculations and Population Model Diagnosis

Description

histobs.plot plots histogram of selected set of NCA metrics (e.g. AUClast, AUCINF_obs, Cmax and Tmax).

Usage

histobs.plot(plotData, figlbl = NULL, param = c("AUClast",
  "AUCINF_obs", "Cmax", "Tmax"), cunit = NULL, tunit = NULL,
  spread = "npi")

Arguments

plotData	A data frame with the estimated NCA metrics
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", "AUCINF_obs", "Cmax", "Tmax"))
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

histobs.plot plots histogram of selected set of NCA metrics. 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, AUCINF_obs, Cmax and Tmax.

Value

returns a graphical object created by arrangeGrob function

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