elliptical.diag.plots: Diagnostic Plots for Elliptical Regression Models

In gwer: Geographically Weighted Elliptical Regression

Description

This function generate diagnostic measures plots for the fitted elliptical regression models.

Usage

elliptical.diag.plots(
  object,
  ellipticaldiag = NULL,
  which,
  subset = NULL,
  iden = FALSE,
  labels = NULL,
  ret = FALSE,
  ...
)

Arguments

object	an object with the result of the fitted elliptical regression model.
ellipticaldiag	object list containing the diagnostic measures. By default it is obtained from the object, but can be calculated using elliptical.diag.
which	an optional numeric value with the number of only plot that must be returned.
subset	an optional numeric vector specifying a subset of observations to be used in the fitting process.
iden	a logical value used to identify observations. If TRUE the observations are identified by user in the graphic window.
labels	a optional string vector specifying a labels plots.
ret	a logical value used to return the diagnostic measures computing. If TRUE the diagnostic measures are returned (see elliptical.diag for more details).
...	graphics parameters to be passed to the plotting routines.

Value

Return an interactive menu with eleven options to make plots. This menu contains the follows graphics: 1: plot: All. 2: plot: Response residual against fitted values. 3: plot: Response residual against index. 4: plot: Standardized residual against fitted values. 5: plot: Standardized residual against index. 6: plot: QQ-plot of response residuals. 7: plot: QQ-plot of standardized residuals. 8: plot: Generalized leverage. 9: plot: Total local influence index plot for response perturbation. 10: plot: Total local influence index plot scale perturbation. 11: plot: Total local influence index plot case-weight perturbation.

References

Galea, M., Paula, G. A., and Cysneiros, F. J. A. (2005). On diagnostics in symmetrical nonlinear models. Statistics & Probability Letters, 73(4), 459-467. doi: 10.1016/j.spl.2005.04.033

See Also

elliptical, elliptical.diag

Examples

data(luzdat)
y <- luzdat$y
x1 <- luzdat$x1 ; x1 <- factor(x1) ; x1 <- C(x1,treatment)
x2 <- luzdat$x2
x3 <- (luzdat$x2)^2
luz <- data.frame(y,x1,x2,x3)
elliptical.fitt <- elliptical(y ~ x1+x2+x3, family = Student(df=5),
data=luz)
elliptical.diag.plots(elliptical.fitt, which=3)

gwer documentation built on April 28, 2021, 9:07 a.m.