nca.deviation.plot: 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
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]")
Value
returns the data frame with the NPDE values based on the input data.
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