| dOFV.vs.cov | R Documentation |
Change in individual objective function value vs. covariate value.
dOFV.vs.cov(
xpdb1,
xpdb2,
covariates = xvardef("covariates", xpdb1),
ylb = expression(paste(Delta, OFV[i])),
main = "Default",
smooth = TRUE,
abline = c(0, 0),
ablcol = "grey",
abllwd = 2,
abllty = "dashed",
max.plots.per.page = 1,
...
)
xpdb1 |
Xpose data object for first NONMEM run |
xpdb2 |
Xpose data object for second NONMEM run |
covariates |
Covariates to plot against |
ylb |
Label for Y 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 |
max.plots.per.page |
Plots per page. |
... |
additional arguments to function |
Andrew C. Hooker
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.id(),
dOFV1.vs.dOFV2(),
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
## Not run:
## read in table files
xpdb8 <- xpose.data(8)
xpdb11 <- xpose.data(11)
## Make some plots
dOFV.vs.cov(xpdb8,xpdb11,"AGE")
dOFV.vs.cov(xpdb8,xpdb11,c("AGE","SECR"))
## End(Not run)
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.