Dependent variable vs population predictions, conditioned on independent variable, for Xpose 4

Share:

Description

This is a plot of the dependent variable (DV) vs population predictions (PRED) conditioned by the independent variable, a specific function in Xpose 4. It is a wrapper encapsulating arguments to the xpose.plot.default function. Most of the options take their default values from xpose.data object but may be overridden by supplying them as arguments.

Usage

1
2
3
4
dv.vs.pred.by.idv(object,
           abline = c(0,1),
           smooth = TRUE,
           ...)

Arguments

object

An xpose.data object.

abline

Vector of arguments to the panel.abline function. No abline is drawn if NULL.

smooth

Logical value indicating whether an x-y smooth should be superimposed. The default is TRUE.

...

Other arguments passed to link{xpose.plot.default}.

Details

A wide array of extra options controlling xyplots are available. See xpose.plot.default and xpose.panel.default for details.

Value

Returns a stack of xyplots of DV vs PRED, conditioned on the independent variable.

Author(s)

E. Niclas Jonsson, Mats Karlsson, Andrew Hooker & Justin Wilkins

See Also

dv.vs.pred, xpose.plot.default, xpose.panel.default, xyplot, xpose.prefs-class, xpose.data-class

Examples

 1
 2
 3
 4
 5
 6
 7
 8
 9
10
11
12
13
14
15
16
17
18
19
## Not run: 
## We expect to find the required NONMEM run and table files for run
## 5 in the current working directory
xpdb5 <- xpose.data(5)

## End(Not run)

## Here we load the example xpose database 
data(simpraz.xpdb)
xpdb <- simpraz.xpdb

## A vanilla plot
dv.vs.pred.by.idv(xpdb)

## Custom axis labels
dv.vs.pred.by.idv(xpdb, ylb="DV", xlb="PRED")

## Custom colours and symbols, IDs
dv.vs.pred.by.idv(xpdb, cex=0.6, pch=3, col=1, ids=TRUE)

Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.