VPC.graph {asVPC}R Documentation

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

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 lee.eunk@gmail.com

References

new paper...

Examples

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

[Package asVPC version 1.0.2 Index]