plot.margint: Diagnostic plots for objects of class 'margint'

In rmargint: Robust Marginal Integration Procedures

Diagnostic plots for objects of class margint

Description

Plot method for class margint.

Usage

## S3 method for class 'margint'
plot(x, derivative = FALSE, which = 1:np, ask = FALSE, ...)

Arguments

x	an object of class margint, a result of a call to margint.cl or margint.rob.
derivative	if TRUE, it plots the q-th derivatives. Defaults to FALSE.
which	vector of indices of explanatory variables for which partial residuals plots will be generated. Defaults to all available explanatory variables.
ask	logical value. If TRUE, the graphical device will prompt before going to the next page/screen of output.
...	additional other arguments.

Author(s)

Alejandra Mercedes Martinez [e-mail]

Examples

function.g1 <- function(x1) 24*(x1-1/2)^2-2
function.g2 <- function(x2) 2*pi*sin(pi*x2)-4
set.seed(140)
n <- 150
x1 <- runif(n)
x2 <- runif(n)
X <- cbind(x1, x2)
eps <- rnorm(n,0,sd=0.15)
regresion <- function.g1(x1) + function.g2(x2)
y <- regresion + eps
bandw <- matrix(0.25,2,2)
set.seed(8090)
nQ <- 80 
Qmeasure <- matrix(runif(nQ*2), nQ, 2)
fit.rob <- margint.rob(y ~ X, windows=bandw, type='alpha', degree=1, Qmeasure=Qmeasure)
plot(fit.rob, which=1)

rmargint documentation built on Oct. 24, 2023, 1:06 a.m.