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.
Usage
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,
...
)Arguments
- 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.
See also
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()