OutliersPlot: Object Goodness-of-Fit Plot 'OutliersPlot' A generic function...

In NumbersInternational/qrserver: R Analysis Functions for Q

Description

reports the goodness-of-fit of an object.

Usage

OutliersPlot(object)

## Default S3 method:
OutliersPlot(object, ...)

## S3 method for class 'lm'
OutliersPlot(object, ...)

## S3 method for class 'smacof'
OutliersPlot(object, ...)

## S3 method for class 'smacofR'
OutliersPlot(object, ...)

Arguments

object	An object for which a summary is desired..
...	Additional arguments affecting the goodness-of-fit displayed.

Methods (by class)

• default: Default outlier plot.

• lm: Outliers plot for a linear model.

• smacof: Outliers plot for a smacof object

• smacofR: Outliers plot for a rectangular smacof object

Examples

# linear regression
x <- rnorm(10)
y <- rnorm(10) + x
mod <- lm(y ~ x)
OutliersPlot(mod)

# MDS - square
library(smacof)
data(breakfastDissimilarities)
mdsInterval <- smacofSym(breakfastDissimilarities[[4]],
    type = "interval", eps = 1e-12, itmax = 100000)
OutliersPlot(mdsInterval)

NumbersInternational/qrserver documentation built on May 7, 2019, 7:19 p.m.