nm.read.vpc: Read VPC output

In qPharmetra/qpToolkit: qPharmetra R Tools

Read VPC output

Description

Parses the output from PsN's vpc and prepares it for plotting.

Usage

nm.read.vpc(
  path = getOption("nmDir"),
  vpc_results = "vpc_results.csv",
  vpctab = dir(path = path, pattern = "^vpctab")[1],
  PI.limits = c(0.025, 0.05, 0.1, 0.3, 0.7, 0.9, 0.95, 0.975),
  PI.ci.area.smooth = FALSE
)

Arguments

path	directory where vpc_results.csv and vpctab files reside
vpc_results	file name of summarized VPC results. Defaults to vpc_results.csv
vpctab	filename of observed data table. Defaults to vpctab
PI.limits	what prediction interval stats should be read from the VPC output files
PI.ci.area.smooth	if TRUE the center of the interval of the independent variable will be used. This will create smooth VPC plots, the same way as xpose does. (defaults to FALSE)

Value

A list of data frames 'obs', 'vpc, and 'res'

Note

Please note that qPharmetra's default VPC plot tool is xpose.VPC. Use this function with the ggvpc functions in case one needs more flexibility to post-process results before plotting, and when stratifcation by more than one variable is needed.

See Also

ggvpc_xpose, ggvpc_standard, read.vpc

Examples

myVPC = nm.read.vpc(path = file.path(getOption("qpExampleDir"), "vpc_final_strt"))

unique(myVPC$vpc$strata)
unique(myVPC$obs$strata)
# they match nicely

qPharmetra/qpToolkit documentation built on May 24, 2023, 8:52 a.m.