plot.asm function

Generate diagnostic plots for an asm regression model

Generates plots of residuals vs fitted values, and the estimated convex loss and antitonic score functions based on a fitted asm regression model

## S3 method for class 'asm'
plot(
  x,
  which = c(1, 2, 3),
  caption = list("Residuals vs fitted", "Convex loss function",
    "Antitonic score function"),
  extend.ylim.f = 0.08,
  id.n = 3,
  labels.id = rownames(x$residuals),
  label.pos = c(4, 2),
  ext.xlim.f = 0.08,
  grid.length.f = 10,
  ask = prod(par("mfcol")) < length(which) && dev.interactive(),
  ...
)

Arguments

• x: asm object
• which: a subset of the plots to be displayed
• caption: a list of captions for the plots
• extend.ylim.f: factor to extend the y-axis limits for the residuals vs fitted plot
• id.n: number of residuals to label in the residuals vs fitted plot
• labels.id: labels for the residuals in the residuals vs fitted plot
• label.pos: position of the labels in the residuals vs fitted plot
• ext.xlim.f: factor to extend the x-axis limits for the convex loss and antitonic score function plots
• grid.length.f: the number of grid points for the convex loss plot is defined as grid.length.f * length(x$residuals)
• ask: logical; if TRUE, the user is asked before each plot
• ...: additional arguments to ensure compatibility with the generic function plot()

Returns

No return value

Examples

model = asm(mpg ~ cyl + hp + disp, data=mtcars)
plot(model)