influence.plot

model

a factor to adjust the size of the circles.

scale

colors for plotting points that do not and do have noteworthy Cook's distances.

if <code>FALSE</code> do not identify points interactively with the mouse; otherwise
    a vector of observation labels.

labels

arguments to pass to the <code>plot</code> function.

This function creates a "bubble" plot of studentized residuals by hat values, with the areas of the
  circles representing the observations proportional to Cook's distances. Vertical reference lines are drawn
  at twice and three times the average hat value, horizontal reference lines at -2, 0, and 2 on the
  studentized-residual scale.

regression


  This package accompanies J. Fox, An R and S-PLUS Companion to Applied Regression,
  Sage, 2002.
  The package contains mostly functions for applied regression, linear models, and
  generalized linear models, with an emphasis on regression diagnostics, particularly 
  graphical diagnostic methods. There are also some utility functions. 
  With some exceptions, I have tried not to duplicate capabilities in the basic distribution of R, 
  nor in widely used packages. Some of the functions in car will use functions
  in the MASS package, if it is present; the subsets function graphs
  objects produced by the regsubsets function in the leaps package. Where relevant, the functions in
  car are consistent with na.action = na.omit or na.exclude.

Join us for
RADAR: AI Edition

influence.plot: Regression Influence Plot

Description

Usage

Arguments

Value

References

See Also

Examples

Join us for RADAR: AI Edition