Change in individual objective function value 1 vs. individual objective function value 2.
Source:R/dOFV1.vs.dOFV2.R
dOFV1.vs.dOFV2.Rd
Change in individual objective function value 1 vs. individual objective
Usage
dOFV1.vs.dOFV2(
xpdb1,
xpdb2,
xpdb3,
ylb = expression(paste(Delta, OFV1[i])),
xlb = expression(paste(Delta, OFV2[i])),
main = "Default",
smooth = NULL,
abline = c(0, 1),
ablcol = "grey",
abllwd = 2,
abllty = "dashed",
lmline = TRUE,
...
)
Arguments
- xpdb1
Xpose data object for first NONMEM run
- xpdb2
Xpose data object for second NONMEM run
- xpdb3
Xpose data object for third NONMEM run
- ylb
Label for Y axis.
- xlb
Label for X axis.
- main
Title of plot.
- smooth
Should we have a smooth?
- abline
abline description.
- ablcol
color of abline
- abllwd
line width of abline
- abllty
type of abline
- lmline
Linear regression line?
- ...
Additional arguments to function.
See also
Other specific functions:
absval.cwres.vs.cov.bw()
,
absval.cwres.vs.pred()
,
absval.cwres.vs.pred.by.cov()
,
absval.iwres.cwres.vs.ipred.pred()
,
absval.iwres.vs.cov.bw()
,
absval.iwres.vs.idv()
,
absval.iwres.vs.ipred()
,
absval.iwres.vs.ipred.by.cov()
,
absval.iwres.vs.pred()
,
absval.wres.vs.cov.bw()
,
absval.wres.vs.idv()
,
absval.wres.vs.pred()
,
absval.wres.vs.pred.by.cov()
,
absval_delta_vs_cov_model_comp
,
addit.gof()
,
autocorr.cwres()
,
autocorr.iwres()
,
autocorr.wres()
,
basic.gof()
,
basic.model.comp()
,
cat.dv.vs.idv.sb()
,
cat.pc()
,
cov.splom()
,
cwres.dist.hist()
,
cwres.dist.qq()
,
cwres.vs.cov()
,
cwres.vs.idv()
,
cwres.vs.idv.bw()
,
cwres.vs.pred()
,
cwres.vs.pred.bw()
,
cwres.wres.vs.idv()
,
cwres.wres.vs.pred()
,
dOFV.vs.cov()
,
dOFV.vs.id()
,
data.checkout()
,
dv.preds.vs.idv()
,
dv.vs.idv()
,
dv.vs.ipred()
,
dv.vs.ipred.by.cov()
,
dv.vs.ipred.by.idv()
,
dv.vs.pred()
,
dv.vs.pred.by.cov()
,
dv.vs.pred.by.idv()
,
dv.vs.pred.ipred()
,
gof()
,
ind.plots()
,
ind.plots.cwres.hist()
,
ind.plots.cwres.qq()
,
ipred.vs.idv()
,
iwres.dist.hist()
,
iwres.dist.qq()
,
iwres.vs.idv()
,
kaplan.plot()
,
par_cov_hist
,
par_cov_qq
,
parm.vs.cov()
,
parm.vs.parm()
,
pred.vs.idv()
,
ranpar.vs.cov()
,
runsum()
,
wres.dist.hist()
,
wres.dist.qq()
,
wres.vs.idv()
,
wres.vs.idv.bw()
,
wres.vs.pred()
,
wres.vs.pred.bw()
,
xpose.VPC()
,
xpose.VPC.both()
,
xpose.VPC.categorical()
,
xpose4-package
Examples
if (FALSE) {
## read in table files
xpdb8 <- xpose.data(8)
xpdb8 <- xpose.data(9)
xpdb11 <- xpose.data(11)
## Make the plot
dOFV.vs.cov(xpdb8,xpdb9,xpdb11)
}