xp.incl.index.cov.ind | R Documentation |
This function will generate a plot of individual inclusion indexes for a specific covariate, which can be used to identify influential individuals for inclusion of that covariate. The index for an individual is calculated as the observed number of inclusions of that individual when the specific covariate was included minus the expected number of inclusions (based on the total bootstrap inclusions), divided by expected.
xp.incl.index.cov.ind(
bootgam.obj = NULL,
boot.type = NULL,
cov.name = NULL,
main = NULL,
ylb = "ID",
xlb = "Individual inclusion index",
return_plot = TRUE,
results.tab = NULL,
...
)
bootgam.obj |
A bootgam or bootscm object. |
boot.type |
Either "bootgam" or "bootscm". Default is NULL, which means the user will be asked to make a choice. |
cov.name |
The name of the covariate for which to create the plot. |
main |
The title of the plot. |
ylb |
The label for the x-axis. |
xlb |
The label for the y-axis. |
return_plot |
Should a plot object be returned? |
results.tab |
Supply your own results table. |
... |
Additional plotting parameters. |
A lattice plot object is returned.
Ron Keizer
Other bootgam:
xp.daic.npar.plot()
,
xp.dofv.npar.plot()
,
xp.inc.cond.stab.cov()
,
xp.inc.ind.cond.stab.cov()
,
xp.inc.stab.cov()
,
xp.incl.index.cov()
Other bootscm:
bootscm.import()
,
xp.daic.npar.plot()
,
xp.dofv.npar.plot()
,
xp.inc.cond.stab.cov()
,
xp.inc.ind.cond.stab.cov()
,
xp.inc.stab.cov()
,
xp.incl.index.cov()
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