nmACPlot: NONMEM autocorrelation plot

In MangoTheCat/RNMGraphics: NONMEM graphics

Description

nmACPlot plots a given variable in a data set against itself "lagged" by one time step.

Usage

nmACPlot(obj, var, tVar = "TIME", iVar = "ID", bVars = NULL,
  gVars = NULL, titles = "", xLabs = NULL, yLabs = NULL,
  extraSubset = NULL, addGrid = TRUE, problemNum = 1,
  subProblems = 1, ...)

Arguments

obj	NMProblem or data.frame object
var	Name of the variable to be plotted
tVar	Name of the "time" variable
iVar	Identifier variable
bVars	"by" variables
gVars	grouping variable
titles	Main title
xLabs	x-axis label
yLabs	y-axis label
extraSubset	Not used at the moment
addGrid	logical flag. Should a grid be added?
problemNum	The problem required for a NMRun object.
subProblems	The sub problem of a run with simulations.
...	Extra parameters passed to nmScatterPlot

Value

Obejct of class multiTrellis

Author(s)

Mango Solutions

Examples

testDataPath <-  system.file("unittests/testdata/TestRun", package = "RNMGraphics")
testDataList <- RNMImport::importNm("TestData1.ctl", path = testDataPath)
x <- RNMImport::nmData(testDataList)
nmACPlot(x, "IPRED")

MangoTheCat/RNMGraphics documentation built on May 8, 2019, 3:51 p.m.