asVPC.distanceW: calculate percentiles of original data using distance-related...

In asVPC: Average Shifted Visual Predictive Checks

Description

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

Usage

asVPC.distanceW(orig.data, sim.data, n.timebin, n.sim, n.hist,
  q.list = c(0.05, 0.5, 0.95), conf.level = 0.95, X.name = "TIME",
  Y.name = "DV", opt.DV.point = FALSE, weight.flag = FALSE,
  Y.min = NULL, Y.max = NULL, only.med = FALSE, plot.flag = TRUE)

Arguments

orig.data	the original data for model fitting
sim.data	the simulated data from NONMEM
n.timebin	the number of bin in X axis
n.sim	the number of simulation in the simulated data
n.hist	the number of shifted
q.list	numeric vector of probabilities with values in [0,1]
conf.level	confidence level of the interval
X.name	the name of X variable in the original scatter plot
Y.name	the name of Y variable in the original scatter plot
opt.DV.point	option to put data point in the plot
weight.flag	option to use weight in average shifted calculation
Y.min	minimum of Y range in the plot
Y.max	maximum of Y range in the plot
only.med	option to use only median
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...

See Also

asVPC.binW

Examples

data(origdata)
data(simdata)
asVPC.distanceW(origdata,simdata,n.timebin=10, n.sim=100,n.hist=3)

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