These are functions for summarizing and plotting the results of the generalized additive model within Xpose
xp.akaike.plot(
gamobj = NULL,
title = "Default",
xlb = "Akaike value",
ylb = "Models",
...
)xp.cook(gam.object)
xp.ind.inf.fit(
gamobj = NULL,
plot.ids = TRUE,
idscex = 0.7,
ptscex = 0.7,
title = "Default",
recur = FALSE,
xlb = NULL,
ylb = NULL,
...
)
xp.ind.inf.terms(
gamobj = NULL,
xlb = NULL,
ylb = NULL,
plot.ids = TRUE,
idscex = 0.7,
ptscex = 0.7,
prompt = TRUE,
...
)
xp.ind.stud.res(
gamobj = NULL,
title = "Default",
recur = FALSE,
xlb = NULL,
ylb = NULL
)
xp.plot(
gamobj = NULL,
plot.ids = TRUE,
idscex = 0.7,
ptscex = 0.7,
prompt = TRUE,
...
)
xp.summary(gamobj = NULL)
A GAM object to use in the plot. IF null then the user is asked to choose from a list of GAM objects in memory.
A text string indicating plot title. If NULL
, left
blank.
A text string indicating x-axis legend. If NULL
, left
blank.
A text string indicating y-axis legend. If NULL
, left
blank.
Other arguments passed to the GAM functions.
A GAM object (see gam
.
Logical, specifies whether or not ID numbers should be displayed.
ID label size.
Point size.
If dispersion should be used in the GAM object.
Specifies whether or not the user should be prompted to press RETURN between plot pages. Default is TRUE.
An xpose.data object.
Plots or summaries.
xp.akaike.plot
: An Akaike plot of the results.
xp.cook
: Individual parameters to GAM fit.
xp.ind.inf.fit
: Individual influence on GAM fit.
xp.ind.inf.terms
: Individual influence on GAM terms.
xp.ind.stud.res
: Studentized residuals.
xp.plot
: GAM residuals of base model vs. covariates.
xp.summary
: Summarize GAM.
Other GAM functions:
xp.get.disp()
,
xp.scope3()
,
xpose.bootgam()
,
xpose.gam()
,
xpose4-package