Plot individual deviation of NCA metrics estimated from observed and simulated data

Description

nca.deviation.plot plots individual deviation of selected NCA metrics estimated from observed and simulated data.

Usage

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nca.deviation.plot(plotdata, xvar = NULL, devcol = NULL, figlbl = NULL,
  spread = "npi", cunit = "[M].[L]^-3", tunit = "[T]")

Arguments

plotdata

A data frame containing the scaled deviation values of the NCA metrics

xvar

x-variable against which the deviation data will be plotted (NULL)

devcol

column names/numbers of the data frame containing deviation data (NULL)

figlbl

Figure label based on dose identifier and/or population stratifier (NULL)

spread

Measure of the spread of simulated data (ppi (95% parametric prediction interval) or npi (95% nonparametric prediction interval)) ("npi")

cunit

Unit for concentration ("[M].[L]^-3")

tunit

Unit for time ("[T]")

Details

nca.deviation.plot plots individual deviation of selected NCA metrics estimated from observed and simulated data. This function requires three mandatory arguments, (i) deviation data, (ii) independent variable and (iii) dependent variables. The deviation of the NCA metrics values estimated from the observed and simulated data are scaled by the "spread" of the simulated metrics values. The "spead" of the simulated data is measured either by the standard deviation or the 95

Value

returns the data frame with the NPDE values based on the input data.