VPC.graph: calculate percentiles of original data using bin-related...

In asVPC: Average Shifted Visual Predictive Checks

Description

calculate percentiles of original data using bin-related weight percentiles of simulated data with corresponding confidence interval

Usage

VPC.graph(orig.data, sim.data, N.timebin, N.sim, q.list = c(0.05, 0.5, 0.95),
  alpha = 0.05, X.name = "TIME", Y.name = "DV", main.title = NULL,
  opt.DV.point = FALSE, opt.DV.quantile.line = TRUE,
  opt.SIM.quantile.line = FALSE, opt.SIM.quantile.CI.area = TRUE,
  Y.min = NULL, Y.max = NULL, plot.flag = TRUE)

Arguments

orig.data	NONMEM data
sim.data	simulated data from NONMEM
N.timebin	number of time bin
N.sim	number of simulation
q.list	list of quantiles for VPC plot
alpha	significance level of CI for each quantile
X.name	x label in VPC plot
Y.name	y label in VPC plot
main.title	title of plot
opt.DV.point	option for drawing data points
opt.DV.quantile.line	option for drawing quantiles of the original data
opt.SIM.quantile.line	option for drawing quantiles of simulated data
opt.SIM.quantile.CI.area	opeions for drawing confidence area of quantiles for simulated data
Y.min	minimum of y axis in VPC plot
Y.max	maximum of y axis in VPC plot
plot.flag	TRUE: drawing plot / FALSE: generate data for drawing plot

Value

plot or the values to draw plot

Author(s)

Eun-Kyung Lee [e-mail]

References

new paper...

Examples

data(origdata)
data(simdata)
VPC.graph(origdata,simdata,10,100)

Example output

asVPC documentation built on May 2, 2019, 11:05 a.m.